Review
BibTex RIS Cite

Usage Areas and Sensor Types of Unmanned Aerial Vehicles

Year 2022, Volume: 4 Issue: 2, 73 - 100, 31.12.2022

Osman Villi Murat Yakar

https://doi.org/10.51534/tiha.1189263
Cited By: 7

Abstract

Unmanned aerial vehicles, which were used only for military and surveillance purposes in the beginning, have started to find a place for themselves in engineering applications, scientific studies and civilian uses with the decrease in costs and increase in accessibility with the developing technology in recent years. Unmanned aerial vehicles developed for non-military uses are frequently used in areas such as agriculture, mining, construction, natural disaster monitoring, meteorology, archeology, especially cartography. Unmanned aerial vehicles have various active or passive sensors to collect data from these areas, and they can obtain high-accuracy data with these sensors. It can produce low-cost, sensitive, fast and analytical solutions compared to manned aircraft or satellite images. Within the scope of this study, the use of unmanned aerial vehicles in various fields and the sensors they carry will be emphasized. Also, future prospects of unmanned aerial vehicle applications will be presented.

Keywords

UAV Applications of UAV Remote Sensing Photogrammetry Sensor technologies Payloads

References

  • Adorama (2021). How Insurance Providers Are Using Drones. https://www.adorama.com/alc/how-insurance-providers-are-using-drones/. Accessed: 30.09.2022.
  • Aerospace Composites Market (2021). Aerospace Composites Market Report Coverage. https://www.gminsights.com/industry-analysis/aerospace-composites-market/, Accessed 19.06.2022.
  • Ahirwar, S., Swarnkar, R., Bhukya, S. & Namwade, G. (2019). Application of Drone in Agriculture. International Journal Current Microbiology Applied Sciences 8(01): 2500-2505.
  • Aicardi, I., Chiabrando, F., Grasso, N., Lingua, A. M., Noardo, F. & Spanò, A. (2016). UAV Photogrammetry with Oblique Images: First Analysis on Data Acquisition and Processing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750.
  • Akar, A., Akar ,Ö. & Bayata, H. F. (2021). SenseFly eBeeX İHA ile Üretilen Ortofotonun Konum Doğruluğunun İncelenmesi. Türkiye İnsansız Hava Araçları Dergisi, 2021: 3(2); 65-68.
  • Alptekin, A. & Yakar, M. (2020). Heyelan bölgesinin İHA kullanarak modellenmesi. Türkiye İnsansız Hava Araçları Dergisi, 2 (1), 17-21.
  • Alptekin, A. & Yakar, M. (2020). Kaya Bloklarının 3B Nokta Bulutunun Yersel Lazer Tarayıcı Kullanarak Elde Edilmesi. Türkiye Lidar Dergisi, 2 (1), 1-4.
  • Alptekin, A., Çelik, M. Ö., Doğan, Y. & Yakar, M. (2019). Mapping of a Rockfall Site With an Unmanned Aerial Vehicle. Mersin Photogrammetry Journal, 1 (1), 12-16.
  • Amato, G., Ciampi, L., Falchi, F. & Gennaro, C. (2019). Counting Vehicles With Deep Learning in Onboard UAV Imagery. In 2019 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE.
  • Amin, M., Abdullah, S., Abdul, M. S. N., Mohd, Z. M. H. A. & Tahar, K. N. (2020). Reconstruction of 3d Accident Scene from Multirotor UAV Platform. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 43.
  • ArduPilot RangeFinder (2021). ArduPilot Peripheral Hardware. https://ardupilot.org/copter/docs/common-rangefinder-sf02.html/, Accessed 20.06.2022.
  • Asad, M., Aidaros, O. A., Beg, R., Dhahri, M. A., Neyadi, S. A. & Hussein, M. (2017). Development of Autonomous Drone for Gas Sensing Application. 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp.1-6, doi: 10.1109/ICECTA.2017.8252068.
  • ASELSAN (2021). İnsansız Hava Aracı Uçuş Kontrol Sistemleri. https://www.aselsan.com.tr/tr/inovasyon/haber-detay/insansiz-hava-araci-ucus-kontrol-sistemleri-3433/, Accessed 18.06.2022.Austin, P. L. (2021). Amazon Drone Delivery Was Supposed to Start by 2018. Here's What Happened Instead?. https://time.com/6093371/amazon-drone-delivery-service/, Accessed 29.06.2022.
  • ASELSAN (2022). CATS (Common Aperture Targeting System). https://www.aselsan.com.tr/tr/cozumlerimiz/elektro-optik-sistemler/, Accessed 05.07.2022.
  • Avdan, U., Şenkal, E., Cömert, R. & Tuncer, S. (2014). İnsansız Hava Aracı ile Oluşturulan Verilerin Doğruluk Analizi. V. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2014), 14-17 Ekim 2014, İstanbul.
  • Aydin, B., Selvi, E., Tao, J. & Starek, M. J. (2019). Use of Fire-Extinguishing Balls for a Conceptual System of Drone-Assisted Wildfire Fighting. Drones 2019, 3(1), 17,
  • Ayemba, D. (2022). Utilizing Drone Technology in Construction. https://constructionreviewonline.com/2018/03/drones-in-construction/, Accessed 27.06.2022.
  • Barbosa, J., Hernandez, C., Paredes, D. & Jativa, E. R. (2020). Design and Implementation of an Autonomous Vehicle with LIDAR-Based Navigation. 2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2020, pp. 98-103.
  • Baykar (2022). Faydalı Yük Sistemleri. https://baykartech.com/tr/faydali-yuk-sistemleri/, Accessed 05.07.2022.
  • Bento, M. D. F., (2008). Unmanned Aerial Vehicles: An Overview. InsideGNSS, Ocak/Şubat: 54-61.
  • Bhandari, A. K., Kumar, A. & Singh, G. K. (2012). Feature Extraction Using Normalized Difference Vegetation Index (NDVI): A Case Study of Jabalpur City. Procedia Technology, 6, pp.612-621.
  • Blyenburgh, P. (2006). UAV Systems: Global Review. Conference, Amsterdam, The Netherlands, 2006.
  • Borky, J. M. (1997). Payload Technologies and Applications for Uninhabited Air Vehicles (UAVs). 1997 IEEE Aerospace Conference, 1997, pp. 267-283 vol.3.
  • Bown, M. & Miller, K. (2018). The Use of Unmanned Aerial Vehicles for Sloped Roof Inspections–Considerations and Constraints. Journal of Facility Management Education and Research, 2(1), 12-18.
  • Bretschneider, T. R. & Shetti, K. (2015). UAV-Based Gas Pipeline Leak Detection. In Proc. of ARCS.
  • Cai, G., Lum, K. Y., Chen, B. M. & Lee, T. H. (2010). A Brief Overview on Miniature Fixed-Wing Unmanned Aerial Vehicles. In Proceedings of the IEEE ICCA 2010, Xiamen, China, 9–11 June 2010, IEEE: Piscataway, NJ, USA, pp. 285–290.
  • Campana, S. (2017). Drones in Archaeology. State-of-the-Art and Future Perspectives. Archaeological Prospection, 24(4), 275–296. doi:10.1002/arp.1569.
  • Campbell, D. A. (2018). Drones, Machetes, and Virtual Reality: 21st-Century Tools for Historic Preservation. In 2018 3rd Digital Heritage International Congress (DigitalHERITAGE) Held Jointly with 2018 24th International Conference on Virtual Systems & Multimedia (VSMM 2018) (pp. 1-4). IEEE.
  • Cengiz, Ç. & Çelik, B. (2021). İnsansız Hava Araçlarında Elektro-Optik Kamera Yerleşim Tasarımı. Journal of Aviation Research, 3 (1), 53-62. DOI: 10.51785/jar.796510.
  • Ceylan, M. C. & Uysal, M. (2021). İnsansız Hava Aracı ile Elde Edilen Veriler Yardımıyla Ağaç Çıkarımı. Türkiye Fotogrametri Dergisi, 3 (1), 15-21.
  • Chang-chun, L., Guang-sheng, Z., Tian-jie, L. & A-du, G., (2011). Quick İmage-Processing Method Of UAV Without Control Points Data İn Earthquake Disaster Area. Trans. Nonferrous Met. Soc. China, 21 (2011), pp.523-528.
  • Chen, B. & Miao, X. (2020). Distribution Line Pole Detection and Counting Based on YOLO Using UAV Inspection Line Video. Journal of Electrical Engineering & Technology, 15(1), 441-448.
  • Cilek, A., Berberoglu, S., Donmez, C. & Cilek, M. U. (2020). Journal of Digital Landscape Architecture. 5-2020, pp. 275-284.
  • Cömert, R., Şenkal, E. & Avdan, U. (2012). İnsansız Hava Araçlarının Kullanım Alanları ve Gelecekteki Beklentiler. IV. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2012), 16-19 Ekim 2012, Zonguldak.
  • Çalışkan, T. B. & Erturgut, R. (2022). Lojistik Faaliyetlerde İHA Kullanımı: İHA Pilotları Üzerinde Bir Araştırma. Uygulamalı Bilimler Fakültesi Dergisi, 4 (1), 1-16.
  • DHL (2022). DHL's Parcelcopter: Changing Shipping Forever. https://www.dhl.com/discover/en-my/business/business-ethics/parcelcopter-drone-technology/, Accessed 29.06.2022.
  • DJI (2020). DJI Matrice 300 RTK. https://www.dji.com/matrice-300/, Accessed 07.07.2022.
  • DJI Agras T30, (2022). DJI Agras T30 Teknik Özellikleri. https://www.dji.com/t30/, Accessed 17.06.2022.
  • DJI U10 Laser Methane Leakage Detector, (2020). https://enterprise-insights.dji.com/blog/m300-third-party-payloads/, Accessed 20.06.2022.
  • Doğan, Y. & Yakar, M. (2018). GIS and three-dimensional modeling for cultural heritages. International Journal of Engineering and Geosciences, 3 (2), 50-55.
  • Donmez, C., Villi, O., Berberoglu, S. & Cilek, A. (2021). Computer Vision-Based Citrus Tree Detection in a Cultivated Environment Using UAV Imagery. Computers and Electronics in Agriculture, Volume 187 (2021), 106273.
  • Duan, G. J. & Zhang, P. F. (2014). Research on Application of UAV for Maritime Supervision. Journal of Shipping and Ocean Engineering, 4, 322-326.
  • Ebeid, E. S. M., Skriver, M. & Jin, J. (2017). A Survey on Open-Source Flight Control Platforms of Unmanned Aerial Vehicle. In Proc. Euromicro Conf. Digit.Syst. Design (DSD), Aug. 2017, pp. 1–7.
  • Elmas, E. E. (2019). Bir İnsansız Hava Aracı Gerçekleştirme ve Hareketli Nesnelerin Tespit ve Takibinde Kullanımı. Yüksek lisans tezi, Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, 122s.
  • Emergenresearch (2022). Top 10 Companies in the Drone Package Delivery Industry. https://www.emergenresearch.com/blog/top-10-companies-in-the-drone-package-delivery-industry/, Accessed 29.06.2022.
  • Fahlstrom, P. G., Gleason, T. J. & Sadraey, M. H. (2022). Introduction to UAV Systems Fifth Edition. John Wiley & Sons, Inc., ISBN:978-1-119-80263-1, 464s.
  • Firefly (2022). Firefly Drone Shows. https://www.fireflydroneshows.com/, Accessed 29.06.2022.
  • Garre, P. & Harish, A. (2018). Autonomous Agricultural Pesticide Spraying UAV. IOP Conference Series: Materials Science Engineering, 455, doi:10.1088/1757-899X/455/1/012030.
  • Ge, X., Wang, J., Ding, J., Cao, X., Zhang, Z., Liu, J. & Li, X. (2019). Combining UAV-Based Hyperspectral Imagery and Machine Learning Algorithms for Soil Moisture Content Monitoring. PeerJ 7:e6926 DOI 10.7717/peerj.6926.
  • Goodrich, M. A., Morse, B. S., Gerhardt, D., Cooper, J. L., Quigley, M., Adams J A & Humphrey C (2008). Supporting Wilderness Search and Rescue Using a Camera‐Equipped Mini UAV. Journal of Field Robotics, 25(1‐2), 89-110.
  • Güçlü, A., Kurtuluş, D. F. & Arıkan, K. B. (2016). Sabit ve Döner Kanatlı Hava Aracının Yönelim Dinamiklerinin Hibrit Denetimi. Sürdürülebilir Havacılık Araştırmaları Dergisi, 1(2), 65-73.
  • Güleç Korumaz, A., Dülgerler, O. N. & Yakar, M. (2011). Kültürel Mirasın Belgelenmesinde Dijital Yaklaşımlar. Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 26 (3), 67-83.
  • Güner, S., Rathnayake, D., Ahmadi, N. B. & Kim, B. (2017). Using Unmanned Aerial Vehicles—Drones as a Logistic Method in Pharmaceutical Industry in Germany. Aviation, 1, 1-11.
  • Haboudane, D., Miller, J. R., Pattey, E., Zarco-Tejeda, P. J. & Strachan, I. B. (2004). Hyperspectral Vegetation Indices and Novel Algorithms for Predicting Green LAI of Crop Canopies: Modeling and Validation in the Context of Precision Agriculture. Remote Sensing of Enviroment, Vol:90, Issue 3, 2004 (pp.337-352).
  • Hassanalian, M. & Abdelkefi, A. (2017). Classifications, Applications and Design Challenges of Drones: A Review. Prog. Aerosp. Sci. 2017, 91.
  • Helicomicro (2017). La BMW Serie 1 et Mr Steele. https://www.helicomicro.com/2017/05/16/la-bmw-serie-1-steele/, Accessed 09.09.2022.
  • Hildebrand, J. (2017). Situating Hobby Drone Practices. Digital Culture & Society, 3(2), 207-218.
  • Honkavaara, E., Eskelinen, M. A., Pölönen, I., Saari, H., Ojanen, H., Mannila, R., Holmlund, C., Hakkala, T., Litkey, P, Rosnell, T., Viljanen, N. & Pulkkanen, M. (2016). Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV). IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 9, pp. 5440-5454, Sept. 2016, doi: 10.1109/TGRS.2016.2565471.
  • Huuskonen, J. & Oksanen, T. (2018). Soil Sampling with Drones and Augmented Reality in Precision Agriculture. Computers and Electronics in Agriculture, Volume 154 (2018), pages 25-35.
  • Hwang, Y. S., Schlüter, S., Lee, J. J. & Um, J. S. (2021). Evaluating the Correlation between Thermal Signatures of UAV Video Stream versus Photomosaic for Urban Rooftop Solar Panels. Remote Sensing. 2021; 13(23):4770.
  • Irizarry, J., Gheisari, M. & Walker, B. (2012). Usability Assessment of Drone Technology as Safety Inspection Tools. ITcon Vol. 17, page 194-212.
  • Jackisch, R., Lorenz, S., Zimmermann, R., Möckel, R. & Gloaguen, R. (2018). Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An example from the Sokolov Lignite District. Remote Sensing, 10(3), 385.
  • Jang, G., Kim, J., Yu, J., Kim, H., Kim, Y., Kim, D., Kim, K., Lee, C. & Chung, Y. (2020). Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application. Remote Sens. 2020, 12, 998; doi:10.3390/rs12060998.
  • Jayapandian, N. (2019). Cloud Enabled Smart Firefighting Drone Using Internet of Things. 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 2019, pp. 1079-1083, doi: 10.1109/ICSSIT46314.2019.8987873.
  • Jiao, Z., Zhang, Y., Xin, J., Mu, L., Yi, Y., Liu, H., & Liu, D. (2019). A Deep Learning Based Forest Fire Detection Approach Using UAV and Yolov3. In 2019 1st International Conference on Industrial Artificial Intelligence (IAI) (pp. 1-5). IEEE.
  • Junwon, S., Duque, L. & Wacker, J. (2018). Drone-Enabled Bridge Inspection Methodology and Application. Automation and Construction. Volume 94, October 2018, pp. 112-126.
  • Kahveci, M. & Can, N. (2017). İnsansız Hava Araçları: Tarihçesi, Tanımı, Dünyada ve Türkiye’deki Yasal Durumu. Selçuk Üniversitesi Mühendislik ve Teknoloji Dergisi, 5(4), 511-535.
  • Karaağaç, C. (2014). Geleceğin Harekât Ortamında İHA Sistemleri: Askeri Uygulamalar & Teknoloji Gereksinimleri. III. Ulusal Havacılıkta İleri Teknolojiler Konferansı, İstanbul, 2014.
  • Karaağaç, C. (2016). İHA Sistemleri Yol Haritası Geleceğin Hava Kuvvetleri 2016-2050. STM-Mühendislik Teknolojik Danışmanlık.
  • Karataş, L., Alptekin, A., Kanun, E. & Yakar, M. (2022). Tarihi kârgir yapılarda taş malzeme bozulmalarının İHA fotogrametrisi kullanarak tespiti ve belgelenmesi: Mersin Kanlıdivane ören yeri vaka çalışması. İçel Dergisi, 2(2), 41-49.
  • Kaya, Y., Polat, N., Şenol, H. İ., Memduhoglu, A. & Ulukavak, M. (2021). Arkeolojik Kalıntıların Belgelenmesinde Yersel ve İHA Fotogrametrisinin Birlikte Kullanımı. Türkiye Fotogrametri Dergisi, 3(1), 09-14.
  • Kaya, Y., Yiğit, A. Y., Ulvi, A. & Yakar, M. (2021). Arkeolojik alanların dokümantasyonununda fotogrametrik tekniklerinin doğruluklarının karşılaştırmalı analizi: Konya Yunuslar Örneği. Harita Dergisi, 165, 57-72.
  • Khadka, A., Fick, B., Afshar, A., Tavakoli, M. & Baqersad, J. (2020). Non-Contact Vibration Monitoring of Rotating Wind Turbines Using a Semi-Autonomous UAV. Mechanical Systems and Signal Processing, 138, 106446.
  • Kınalı, M. & Çalışkan, E. (2022). Use of Unmanned Aerial Vehicles in Forest Road Projects. Bartın Orman Fakültesi Dergisi, 24(3), 1-1.
  • Kirsch, M., Lorenz, S., Zimmermann, R., Tusa, L., Möckel, R., Hödl, P., Booysen, R., Khodadadzadeh, M. & Gloaguen, R. (2018). Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring. Remote Sensing, 10(9), 1366.
  • Köşe, K. & Aksoy, T. (2022). İnsansız Hava Aracı Fotogrametrisi Üzerine Bir Çalışma. GSI Journals Serie C: Advancements in Information Sciences and Technologies, 5(1), 77-89.
  • KraftTeknik Gaz Ölçüm Cihazları (2022). http://www.kraftteknik.com/urun/cnt.php?kid=121&kad=gaz-olcum-cihazlari_gaz-olcum-analiz-cihazlari/, Accessed 20.06.2022.
  • Kusak, L., Unel, F., Alptekin, A., Celik, M. & Yakar, M. (2021). Apriori Association Rule and K-Means Clustering Algorithms for Interpretation of Pre-Event Landslide Areas and Landslide Inventory Mapping. Open Geosciences, 13(1), 1226-1244.
  • Kwon, W., Park, J. H., Lee, M., Her, J., Kim, S. H. & Seo, J. W. (2019). Robust Autonomous Navigation of Unmanned Aerial Vehicles (UAVs) for Warehouses’ Inventory Application. IEEE Robotics and Automation Letters, 5(1), 243-249.
  • Lee, S. & Choi, Y. (2016). Reviews of Unmanned Aerial Vehicle (Drone) Technology Trends and its Applications in the Mining Industry. Geosyst. Eng. 2016, 19, 197–204.
  • Lentatek (2022). Karayel-Su Taktik İHA Sistemi. https://lentatek.com/tr/cozumler/karayel-su-taktik-iha-sistemi/, Accessed 05.07.2022.
  • Liao, K. C. & Lu, J. H. (2021). Using UAV to Detect Solar Module Fault Conditions of a Solar Power Farm with IR and Visual Image Analysis. Applied Sciences. 2021, 11(4), 1835.
  • Libellium Calibrated Air Quality Sensors for Smart Cities (2015). https://www.libelium.com/libeliumworld/calibrated-air-quality-gas-dust-particle-matter-pm10-smart-cities/, Accessed 28.06.2022.
  • Lin, Y., Jiang, M., Yao, Y., Zhang, L. & Lin, J. (2015). Use of UAV Oblique Imaging for the Detection of Individual Trees in Residential Environments. Urban Forestry & Urban Greening, 14(2), 404-412.
  • Macit, A. (2021). İnsansız Hava Araçlarının (İHA) Sivil Kullanımı ve Filo Sahibi İşletmeler Açısından Stratejik Önemine Yönelik Bir Araştırma. 14. Uluslararası Güncel Araştırmalarla Sosyal Bilimler Kongresi Tam Metinleri, s.1189-1195, ISBN: 978-605-74907-8-0.
  • Menteşoğlu, B. E. & İnan, M. (2016). İnsansız Hava Araçlarının (İHA) Ormancılık Uygulamalarında Kullanımı. VI. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2016), 5-7 Ekim 2016, Adana.
  • Mırdan, O. & Yakar, M. (2017). Tarihi Eserlerin İnsansız Hava Aracı ile Modellenmesinde Karşılaşılan Sorunlar. Geomatik, 2 (3), 118-125.
  • Morgenthal, G. & Hallermann, N. (2014). Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures. Advances in Structural Engineering, doi: 10.1260/1369-4332.17.3.289.
  • Motawa, I. A. & Kardakou, A. (2018). Unmanned Aerial Vehicles (UAVs) for Inspection in Construction and Building Industry. 16th International Operation & Maintenance Conference (OMAINTEC 2018), 18-20th November 2018, Cairo, Egypt.
  • Naidoo, Y., Stopforth, R. & Bright, G. (2011). Development of an UAV for Search & Rescue Applications. IEEE Africon'11 (pp. 1-6). IEEE.
  • Nesbit, P. R. & Hugenholtz, C. H. (2019). Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images. Remote Sensing. 11(3):239.
  • Newton, M. (2017). ND Filters – In Depth Guide For Beginners. https://www.theschoolofphotography.com/tutorials/nd-filters-in-depth-guide-for-beginners/, Accessed 29.06.2022.
  • Nex, F. & Remondino, F. (2013). UAV for 3D Mapping Applications: A Review. Applied Geomatics, 6(1), 1–15.doi:10.1007/s12518-013-0120-x.
  • Odo, A., McKenna, S., Flynn, D. & Vorstius, J. (2020). Towards the Automatic Visual Monitoring of Electricity Pylons from Aerial Images. 15th International Conference on Computer Vision Theory and Applications (pp. 566-573). VISAPP.
  • Oh, S., Ham, S. & Lee, S. (2021). Drone-Assisted Image Processing Scheme using Frame-Based Location Identification for Crack and Energy Loss Detection in Building Envelopes. Energies. 14, 6359.
  • Ok, A. O. & Ozdarici-Ok, A. (2017). Detection of Citrus Tree from UAV DSMS. ISPRS Annals o the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-1/W1, 2017 ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany.
  • Optronics Hyperspectral (2018). The RIKOLA Product Range. 2018. http://senop.fi/en/
  • optronics-hyperspectral/, Accessed 28.06.2022.
  • Oscarliang (2019). How to build a Racing Drone Tutorial (2019). https://oscarliang.com/build-racing-drone-fpv-quadcopter/, Accessed 11.09.2022.
  • O'Young, S. & Hubbard, P. (2007). RAVEN: A Maritime Surveillance Project Using Small UAV. In 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007) (pp. 904-907). IEEE.
  • Özcan, O. (2017). İnsansız Hava Aracı (İHA) ile Farklı Yüksekliklerden Üretilen Sayısal Yüzey Modellerinin (SYM) Doğruluk Analizi. Mühendislik ve Yer Bilimleri Dergisi, Cilt 2, Sayı 1, 1-7 s.
  • Öztürk, H. H. (2013). Yenilenebilir Enerji Kaynakları. Birsen Yayınevi, 1, ISBN: 9789755115894, 442s.
  • Photographylife (2022). Real Estate Drone Photography: A Complete Beginner’s Guide. https://photographylife.com/real-estate-drone-photography/. Accessed: 30.09.2022.
  • Police1 (2022). How to Use Drones for Crime and Accident Scene Documentation. https://www.police1.com/police-products/police-drones/articles/how-to-use-drones-for-crime-and-accident-scene-documentation-Ysk5xHDmCiQ5HdQZ/. Accessed: 30.09.2022.
  • Quater, P. B., Grimaccia, F., Leva, S., Mussetta, M. & Aghaei, M. (2014). Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants. IEEE Journal of Photovoltaics, vol. 4, no. 4, pp. 1107-1113, doi: 10.1109/JPHOTOV.2014.2323714.
  • Quebrajo L, Perez-Ruiz M, Pérez-Urrestarazu L, Martínez G & Egea G. (2018). Linking Thermal Imaging and Soil Remote Sensing to Enhance Irrigation Management of Sugar Beet. Biosystems Engineering, 165, 77–87.
  • Queralta, J. P., Raitoharju, J., Gia, T. N., Passalis, N. & Westerlund, T. (2020). Autosos: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. arXiv preprint arXiv:2005.03409.
  • Reinecke, M. & Prinsloo, T. (2017). The Influence of Drone Monitoring on Crop Health and Harvest Size. IEEE 1st International Conference in Next Generation Computing Applications (NextComp), 2017 (pp. 5-10).
  • Roketsan (2022). MAM-T Akıllı Mühimmat Sistemleri. https://www.roketsan.com.tr/tr/urunler/mam-t-akilli-muhimmat/, Accessed 05.07.2022.
  • Rosende, S. B., Sánchez-Soriano, J., Muñoz, C. Q. G. & Andrés, J. F. (2020). Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants. Energies. 2020; 13(21):5712. https://doi.org/10.3390/en13215712.
  • Rossi, M. & Brunelli, D. (2016). Autonomous Gas Detection and Mapping with Unmanned Aerial Vehicles. IEEE Transactıons on Instrumentation and Measurement, Vol. 65, No. 4, April 2016.
  • Rossi, P., Mancini, F., Dubbini, M., Mazzone, F. & Capra, A. (2017). Combining Nadir and Oblique UAV Imagery to Reconstruct Quarry Topography: Methodology and Feasibility Analysis. European Journal of Remote Sensing, 50:1, 211-221, DOI: 10.1080/22797254.2017.1313097.
  • Rouse, J. W., Haas, R. H., Schell, J. A. & Deering, D. W. (1973). Monitoring Vegetation Systems in the Great Plains with ERTS. In S. C. Freden & M. A. Becker (Eds.), Third ERTS Symposium (pp.309–317). Greenbelt, MD: NASA Goddard Space Flight Centre.
  • Sağıroğlu, Ö. (2004). Yersel Fotogrametrik Rölöve Ölçüm Tekniğinin Ömer Duruk Evi Örneği Üzerinde Uygulanması. Yüksek Lisans Tezi, Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, 182s.
  • Samad, A. M., Kamarulzaman, N., Hamdani, M. A., Mastor, T. A. & Hashim, K. A. (2013). The Potential of Unmanned Aerial Vehicle (UAV) for Civilian and Mapping Application. 2013 IEEE 3rd International Conference on System Engineering and Technology, 19-20 Aug. 2013, Shah Alam, Malaysia.
  • Scherer, J., Rinner, B., Yahyanejad, S., Hayat, S., Yanmaz, E., Andre, T., Khan, A., Vukadinovic, V., Bettstetter, C., Hellwagner, H. & Rinner, B. (2015). An Autonomous Multi-UAV System for Search and Rescue. Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use - DroNet ’15. doi:10.1145/2750675.2750683.
  • Seyrek, E. C., Narin, Ö. G., Koçak, T. & Uysal, M. (2021). Yüzey Araştırmalarında İHA Fotogrametrisinin Kullanımı: Kolankaya Siperleri Örneği. Türkiye Fotogrametri Dergisi, 3 (2), 69-75 . DOI: 10.53030/tufod.1021793.
  • Shahmoradi, J., Talebi, E., Roghanchi, P. & Hassanalian, M. (2020). A Comprehensive Review of Applications of Drone Technology in the Mining Industry. Drones (2020), 4, 34.
  • Shi, X., Han, W., Zhao, T. & Tang, J. (2019). Decision Support System for Variable Rate Irrigation Based on UAV Multispectral Remote Sensing. Sensors, 19, 2880.
  • Shukla, A., Xiaoqian, H., & Karki, H. (2016). Autonomous Tracking of Oil and Gas Pipelines by an Unmanned Aerial Vehicle. in 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 1-4). IEEE.
  • Silvagni, M., Tonoli, A., Zenerino, E. & Chiaberge, M. (2017). Multipurpose UAV for Search and Rescue Operations in Mountain Avalanche Events. Geomatics, Natural Hazards and Risk, 8(1), 18-33.
  • Silveira, B., Melo, R. & Costa, D. B. (2020). Using UAS for Roofs Structure Inspections at Post-Occupational Residential Buildings. In International Conference on Computing in Civil and Building Engineering (pp. 1055-1068). Springer, Cham.
  • Skddrone (2022). International Drone Events. https://www.skddrone.com/, Accessed 29.06.2022.
  • Skymagic (2022). Drone Light Shows. https://skymagic.show/, Accessed 29.06.2022.
  • Smith, N. G., Passone, L., Al-Said, S., Al-Farhan M., & Levy, T. E. (2014). Drones in Archaeology: Integrated Data Capture, Processing and Dissemination in the al-Ula Valley, Saudi Arabia. Near Eastern Archaeology, 77(3), 176.
  • Spiess, T., Bange, J., Buschman, M. & Vörsmann, P. (2007). First Application of the Meteorological Mini-UAV M2-AV. Meteorologische Zeitschrift, Vol. 16, No. 2, 159-169.
  • Şasi, A. (2020). Ak Camii’nin İnsansız Hava Aracı ile Fotogrametrik 3B Modellenmesi. Türkiye İnsansız Hava Araçları Dergisi, 2(1), 1-7.
  • Şenol, H. İ., Memduhoğlu, A., Ulukavak, M., Çetin, B., Polat, N. & Kaya, Y. (2019). Lazer Tarayıcı ve İnsansız Hava Aracı Kullanılarak Kızılkoyun Kral Kaya Mezarlarının 3 Boyutlu Belgelenmesi. TMMOB Harita ve Kadastro Mühendisleri Odası, 17. Türkiye Harita Bilimsel ve Teknik Kurultayı, 25-27 Nisan 2019, Ankara.
  • Tanut, B., Waranusast, R. & Riyamongkol, P. (2021). High Accuracy Pre-Harvest Sugarcane Yield Forecasting Model Utilizing Drone İmage Analysis, Data Mining, And Reverse Design Method. Agriculture, 11(7), 682.
  • Thapa, G. J., Thapa, K., Thapa, R., Jnawali, S. R., Wich, S. A., Poudyal, L. P. & Karki, S. (2018). Counting Crocodiles from the Sky: Monitoring the Critically Endangered Gharial (Gavialis Gangeticus) Population with an Unmanned Aerial Vehicle (UAV). Journal of Unmanned Vehicle Systems, 6(2), 71-82.
  • The Shool of Photography (2017). ND Filters – In Depth Guide For Beginners. https://www.theschoolofphotography.com/tutorials/nd-filters-in-depth-guide-for-beginners/, Accessed 29.06.2022.
  • Tkáč M & Mésároš P (2019). Utilizing Drone Technology in the Civil Engineering. Selected Scientific Papers - Journal of Civil Engineering, 14(1) 27-37.
  • Tubitak Sage (2022). Bozok Lazer Güdümlü Minyatür Mühimmat. https://www.sage.tubitak.gov.tr/sites/images/sage/bozok.pdf/, Accessed 05.07.2022.
  • Tucci, G., Gebbia, A., Conti, A., Fiorini, L. & Lubello, C. (2019). Monitoring and Computation of the Volumes of Stockpiles of Bulk Material by Means of UAV Photogrammetric Surveying. Remote Sensing. 2019; 11(12):1471.
  • Tutuş, Y. (2018). Tanıtım Film Yapım Sürecinde İnsansız Hava Araçlarının Kullanımı: Elazığ İline Yönelik Örnek Bir Uygulama/Usage of the Drons at Promotional Film Production: An Example Practise in Elazığ. Yüksek Lisans Tezi, Fırat Üniversitesi, Sosyal Bilimler Enstitüsü, Elazığ, 74s.
  • Tükenmez, F. (2021). Harita Mühendisliğinde İHA ile Karayolu Projelendirme. Türkiye Fotogrametri Dergisi, 3 (2), 53-61. DOI: 10.53030/tufod.1003187.
  • Türk, Y., Canyurt, H., Eker, R. & Aydın, A. (2022). İnsansız Hava Aracı ile Orman Yolu Kazı ve Dolgu Hacimlerinin Belirlenmesi: Bolu-Taşlıyayla Örneği. Ormancılık Araştırma Dergisi, Karok 2021 , 97-104 . DOI: 10.17568/ogmoad.1093695.
  • Ulvi, A. (2021). İHA Fotogrametrisine Genel Bakış: Geleneksel Topografik Harita Yapımı Tekniği ile Maliyet Karşılaştırması. BŞEÜ Fen Bilimleri Dergisi, 458-471.
  • Ulvi, A., Yakar, M., Yiğit, A. & Kaya, Y. (2019). The use of photogrammetric techniques in documenting cultural heritage: The Example of Aksaray Selime Sultan Tomb. Universal Journal of Engineering Science, 7(3), 64-73.
  • Ulvi, A., Yakar, M., Yiğit, A. Y. & Kaya, Y. (2020). İHA ve Yersel Fotogrametrik Teknikler Kullanarak Aksaray Kızıl Kilise’nin 3 Boyutlu Nokta Bulutu ve Modelinin Üretilmesi. Geomatik Dergisi, 5(1), 22-30.
  • Uysal, M., Polat, N., Toprak, A. S. & Yakar, M. (2013). 3d modeling of historical doger caravansaries by digital photogrammetry.
  • Vacca, G., Dessì, A. & Sacco, A. (2017). The Use of Nadir and Oblique UAV Images for Building Knowledge. ISPRS International Journal of Geo-Information. 6(12):393.
  • Vaned (2022). Real Estate Drone Photography: A Comprehensive Guide. https://www.vaned.com/blog/real-estate-drone-photography/. Accessed: 30.09.2022.
  • Verge (2022). Verge Aero Drone Shows. https://verge.aero/, Accessed 29.06.2022.
  • Vergouw, B., Nagel, H., Bondt, G. & Custers, B. (2016). Drone Technology: Types, Payloads, Applications, Frequency Spectrum Issues and Future Developments. The Future of Drone Use, 21–45.
  • Vhive (2020). How to Use Drones for Insurance Inspections. https://www.vhive.ai/how-to-use-drones-for-insurance-inspections/. Accessed: 30.09.2022.
  • Villi, O. (2019). İnsansız Hava Araçlarında Çok Bantlı Kamera Entegrasyonu ve Tarımsal Uygulamaları. Yüksek Lisans Tezi, Çukurova Üniversitesi, Fen Bilimleri Enstitüsü, Adana, 89s.
  • Wang, L. & Zhang, Z. (2017). Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images. IEEE Transactions on Industrial Electronics, 64(9), 7293-7303.
  • Wikipedia (2015). Neutral-Density Filter. https://en.wikipedia.org/wiki/Neutral-density_filter/, Accessed 29.06.2022.
  • Wing (2022). Wing Delivery is Easy to Use. https://wing.com/how-it-works/, Accessed 29.06.2022.
  • Yakar, M. & Yılmaz, H. M. (2008). Using in volume computing of digital close range photogrammetry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(3b).
  • Yakar, M. (2011). Using close range photogrammetry to measure the position of inaccessible geological features. Experimental Techniques, 35(1), 54-59.
  • Yakar, M., & Doğan, Y. (2017). Uzuncaburç Antik Kentinin İHA Kullanılarak Eğik Fotogrametri Yöntemiyle Üç Boyutlu Modellenmesi. 16. Türkiye Harita Bilimsel ve Teknik Kurultayı. TMMOB Harita ve Kadastro Mühendisleri Odası, Ankara.
  • Yakar, M., Yıldız, F. & Yılmaz, H. M. (2005). Tarihi ve Kültürel Mirasların Belgelenmesinde Jeodezi Fotogrametri Mühendislerinin Rolü. TMMOB Harita ve Kadastro Mühendisleri Odası, 10.
  • Yakar, M., Yılmaz, H. M., Mutluoğlu, H. M., (2009). Hacim Hesaplamalarında Laser Tarama ve Yersel Fotogrametrinin Kullanılması, TMMOB Harita ve Kadastro Mühendisleri Odası 12. Türkiye Harita Bilimsel ve Teknik Kurultayı , Ankara.
  • Yakar, M., Yilmaz, H. M. & Mutluoglu, O. (2010). Close range photogrammetry and robotic total station in volume calculation. International Journal of the Physical Sciences. 5(2), 086-096.
  • Yılmaz, H. M., Karabörk, H. & Yakar, M. (2000). Yersel fotogrametrinin kullanım alanları. Niğde Üniversitesi Mühendislik Bilimleri Dergisi, 4(1), 1.
  • Yılmaz, H. M., Yakar, M. & Yildiz, F. (2008). Digital photogrammetry in obtaining of 3D model data of irregular small objects. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 125-130.
  • Yiğit, A. Y. & Ulvi, A. (2020). İHA Fotogrametrisi Tekniği Kullanarak 3B Model Oluşturma: Yakutiye Medresesi Örneği. Türkiye Fotogrametri Dergisi, 2(2), 46-54.
  • Yilmaz, H. M. & Yakar, M. (2008). Computing Of Volume Of Excavation Areas By Digıtal Close Range Photogrammetry. Arabian J. Sci. Eng. 33(1A), 63-78.
  • Yuan, C., Liu, Z. & Zhang, Y. (2015). UAV-based Forest Fire Detection and Tracking Using Image Processing Techniques. 2015 International Conference on Unmanned Aircraft Systems (ICUAS) Denver Marriott Tech Center Denver, Colorado, USA, June 9-12, 2015.
  • Yuan, C., Liu, Z. & Zhang, Y. (2016). Vision-based Forest Fire Detection in Aerial Images for Firefighting Using UAVs. 2016 International Conference on Unmanned Aircraft Systems (ICUAS) Arlington, USA, June 7-10, 2016.
  • Zhang, J., Jung, J., Sohn, G. & Cohen, M. (2015). Thermal Infrared Inspection of Roof Insulation Using Unmanned Aerial Vehicles. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(1), 381.
  • Zhao, Z., Dao, R. Zhang, H., Zhang, F., Zeng, J. & Chen, C. (2021). Method of Physical Inventory Checking on Cigarette Stereoscopic Warehouse Based on UAV. In 2021 3rd International Conference on Pattern Recognition and Intelligent Systems (pp. 15-19).
  • Zhou, R., Wen, Z. & Su, H .(2022). Automatic Recognition of Earth Rock Embankment Leakage Based on UAV Passive İnfrared Thermography and Deep Learning. ISPRS Journal of Photogrammetry and Remote Sensing, 191, 85-104.

İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri

Year 2022, Volume: 4 Issue: 2, 73 - 100, 31.12.2022

Osman Villi Murat Yakar

https://doi.org/10.51534/tiha.1189263
Cited By: 7

Abstract

Başlarda sadece askeri ve gözetleme amacıyla kullanılan insansız hava araçları, son yıllarda gelişen teknoloji ile birlikte maliyetlerin düşmesi ve erişebilirliğin artmasıyla, mühendislik uygulamalarında, bilimsel çalışmalarda ve sivil kullanımlarda da kendine yer bulmaya başlamıştır. Askeri olmayan kullanımlar için geliştirilen insansız hava araçları, günümüzde haritacılık başta olmak üzere, ziraat, madencilik, inşaat, doğal afet izleme, meteoroloji, arkeoloji gibi alanlarda sıkça kullanılmaktadır. İnsansız hava araçları bu alanlardan veri toplayabilmek için çeşitli aktif veya pasif sensörlere sahiptir ve taşıdıkları bu sensörler ile yüksek doğrulukta veriler elde edebilmektedir. İnsanlı hava araçları veya uydu görüntülerine göre de düşük maliyetli, hassas, hızlı ve analitik çözümler üretebilmektedir. Bu çalışma kapsamında, insansız hava araçlarının çeşitli alanlardaki kullanımları ve taşıdıkları sensörler üzerinde durulacaktır. Ayrıca, insansız hava aracı uygulamalarının gelecekteki beklentileri sunulacaktır.

Keywords

İHA İHA Kullanım Alanları Uzaktan Algılama Fotogrametri Sensör Teknolojileri Faydalı Yükler

Thanks

Bu makalenin ortaya çıkmasında desteklerini ve teşviklerini esirgemeyen Sayın Prof. Dr. Murat YAKAR’ a, her daim yanımda olan eşim Özge’ye ve mutluluk kaynağım kızım Eliz’e teşekkür ederim.

References

  • Adorama (2021). How Insurance Providers Are Using Drones. https://www.adorama.com/alc/how-insurance-providers-are-using-drones/. Accessed: 30.09.2022.
  • Aerospace Composites Market (2021). Aerospace Composites Market Report Coverage. https://www.gminsights.com/industry-analysis/aerospace-composites-market/, Accessed 19.06.2022.
  • Ahirwar, S., Swarnkar, R., Bhukya, S. & Namwade, G. (2019). Application of Drone in Agriculture. International Journal Current Microbiology Applied Sciences 8(01): 2500-2505.
  • Aicardi, I., Chiabrando, F., Grasso, N., Lingua, A. M., Noardo, F. & Spanò, A. (2016). UAV Photogrammetry with Oblique Images: First Analysis on Data Acquisition and Processing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750.
  • Akar, A., Akar ,Ö. & Bayata, H. F. (2021). SenseFly eBeeX İHA ile Üretilen Ortofotonun Konum Doğruluğunun İncelenmesi. Türkiye İnsansız Hava Araçları Dergisi, 2021: 3(2); 65-68.
  • Alptekin, A. & Yakar, M. (2020). Heyelan bölgesinin İHA kullanarak modellenmesi. Türkiye İnsansız Hava Araçları Dergisi, 2 (1), 17-21.
  • Alptekin, A. & Yakar, M. (2020). Kaya Bloklarının 3B Nokta Bulutunun Yersel Lazer Tarayıcı Kullanarak Elde Edilmesi. Türkiye Lidar Dergisi, 2 (1), 1-4.
  • Alptekin, A., Çelik, M. Ö., Doğan, Y. & Yakar, M. (2019). Mapping of a Rockfall Site With an Unmanned Aerial Vehicle. Mersin Photogrammetry Journal, 1 (1), 12-16.
  • Amato, G., Ciampi, L., Falchi, F. & Gennaro, C. (2019). Counting Vehicles With Deep Learning in Onboard UAV Imagery. In 2019 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE.
  • Amin, M., Abdullah, S., Abdul, M. S. N., Mohd, Z. M. H. A. & Tahar, K. N. (2020). Reconstruction of 3d Accident Scene from Multirotor UAV Platform. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 43.
  • ArduPilot RangeFinder (2021). ArduPilot Peripheral Hardware. https://ardupilot.org/copter/docs/common-rangefinder-sf02.html/, Accessed 20.06.2022.
  • Asad, M., Aidaros, O. A., Beg, R., Dhahri, M. A., Neyadi, S. A. & Hussein, M. (2017). Development of Autonomous Drone for Gas Sensing Application. 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp.1-6, doi: 10.1109/ICECTA.2017.8252068.
  • ASELSAN (2021). İnsansız Hava Aracı Uçuş Kontrol Sistemleri. https://www.aselsan.com.tr/tr/inovasyon/haber-detay/insansiz-hava-araci-ucus-kontrol-sistemleri-3433/, Accessed 18.06.2022.Austin, P. L. (2021). Amazon Drone Delivery Was Supposed to Start by 2018. Here's What Happened Instead?. https://time.com/6093371/amazon-drone-delivery-service/, Accessed 29.06.2022.
  • ASELSAN (2022). CATS (Common Aperture Targeting System). https://www.aselsan.com.tr/tr/cozumlerimiz/elektro-optik-sistemler/, Accessed 05.07.2022.
  • Avdan, U., Şenkal, E., Cömert, R. & Tuncer, S. (2014). İnsansız Hava Aracı ile Oluşturulan Verilerin Doğruluk Analizi. V. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2014), 14-17 Ekim 2014, İstanbul.
  • Aydin, B., Selvi, E., Tao, J. & Starek, M. J. (2019). Use of Fire-Extinguishing Balls for a Conceptual System of Drone-Assisted Wildfire Fighting. Drones 2019, 3(1), 17,
  • Ayemba, D. (2022). Utilizing Drone Technology in Construction. https://constructionreviewonline.com/2018/03/drones-in-construction/, Accessed 27.06.2022.
  • Barbosa, J., Hernandez, C., Paredes, D. & Jativa, E. R. (2020). Design and Implementation of an Autonomous Vehicle with LIDAR-Based Navigation. 2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2020, pp. 98-103.
  • Baykar (2022). Faydalı Yük Sistemleri. https://baykartech.com/tr/faydali-yuk-sistemleri/, Accessed 05.07.2022.
  • Bento, M. D. F., (2008). Unmanned Aerial Vehicles: An Overview. InsideGNSS, Ocak/Şubat: 54-61.
  • Bhandari, A. K., Kumar, A. & Singh, G. K. (2012). Feature Extraction Using Normalized Difference Vegetation Index (NDVI): A Case Study of Jabalpur City. Procedia Technology, 6, pp.612-621.
  • Blyenburgh, P. (2006). UAV Systems: Global Review. Conference, Amsterdam, The Netherlands, 2006.
  • Borky, J. M. (1997). Payload Technologies and Applications for Uninhabited Air Vehicles (UAVs). 1997 IEEE Aerospace Conference, 1997, pp. 267-283 vol.3.
  • Bown, M. & Miller, K. (2018). The Use of Unmanned Aerial Vehicles for Sloped Roof Inspections–Considerations and Constraints. Journal of Facility Management Education and Research, 2(1), 12-18.
  • Bretschneider, T. R. & Shetti, K. (2015). UAV-Based Gas Pipeline Leak Detection. In Proc. of ARCS.
  • Cai, G., Lum, K. Y., Chen, B. M. & Lee, T. H. (2010). A Brief Overview on Miniature Fixed-Wing Unmanned Aerial Vehicles. In Proceedings of the IEEE ICCA 2010, Xiamen, China, 9–11 June 2010, IEEE: Piscataway, NJ, USA, pp. 285–290.
  • Campana, S. (2017). Drones in Archaeology. State-of-the-Art and Future Perspectives. Archaeological Prospection, 24(4), 275–296. doi:10.1002/arp.1569.
  • Campbell, D. A. (2018). Drones, Machetes, and Virtual Reality: 21st-Century Tools for Historic Preservation. In 2018 3rd Digital Heritage International Congress (DigitalHERITAGE) Held Jointly with 2018 24th International Conference on Virtual Systems & Multimedia (VSMM 2018) (pp. 1-4). IEEE.
  • Cengiz, Ç. & Çelik, B. (2021). İnsansız Hava Araçlarında Elektro-Optik Kamera Yerleşim Tasarımı. Journal of Aviation Research, 3 (1), 53-62. DOI: 10.51785/jar.796510.
  • Ceylan, M. C. & Uysal, M. (2021). İnsansız Hava Aracı ile Elde Edilen Veriler Yardımıyla Ağaç Çıkarımı. Türkiye Fotogrametri Dergisi, 3 (1), 15-21.
  • Chang-chun, L., Guang-sheng, Z., Tian-jie, L. & A-du, G., (2011). Quick İmage-Processing Method Of UAV Without Control Points Data İn Earthquake Disaster Area. Trans. Nonferrous Met. Soc. China, 21 (2011), pp.523-528.
  • Chen, B. & Miao, X. (2020). Distribution Line Pole Detection and Counting Based on YOLO Using UAV Inspection Line Video. Journal of Electrical Engineering & Technology, 15(1), 441-448.
  • Cilek, A., Berberoglu, S., Donmez, C. & Cilek, M. U. (2020). Journal of Digital Landscape Architecture. 5-2020, pp. 275-284.
  • Cömert, R., Şenkal, E. & Avdan, U. (2012). İnsansız Hava Araçlarının Kullanım Alanları ve Gelecekteki Beklentiler. IV. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2012), 16-19 Ekim 2012, Zonguldak.
  • Çalışkan, T. B. & Erturgut, R. (2022). Lojistik Faaliyetlerde İHA Kullanımı: İHA Pilotları Üzerinde Bir Araştırma. Uygulamalı Bilimler Fakültesi Dergisi, 4 (1), 1-16.
  • DHL (2022). DHL's Parcelcopter: Changing Shipping Forever. https://www.dhl.com/discover/en-my/business/business-ethics/parcelcopter-drone-technology/, Accessed 29.06.2022.
  • DJI (2020). DJI Matrice 300 RTK. https://www.dji.com/matrice-300/, Accessed 07.07.2022.
  • DJI Agras T30, (2022). DJI Agras T30 Teknik Özellikleri. https://www.dji.com/t30/, Accessed 17.06.2022.
  • DJI U10 Laser Methane Leakage Detector, (2020). https://enterprise-insights.dji.com/blog/m300-third-party-payloads/, Accessed 20.06.2022.
  • Doğan, Y. & Yakar, M. (2018). GIS and three-dimensional modeling for cultural heritages. International Journal of Engineering and Geosciences, 3 (2), 50-55.
  • Donmez, C., Villi, O., Berberoglu, S. & Cilek, A. (2021). Computer Vision-Based Citrus Tree Detection in a Cultivated Environment Using UAV Imagery. Computers and Electronics in Agriculture, Volume 187 (2021), 106273.
  • Duan, G. J. & Zhang, P. F. (2014). Research on Application of UAV for Maritime Supervision. Journal of Shipping and Ocean Engineering, 4, 322-326.
  • Ebeid, E. S. M., Skriver, M. & Jin, J. (2017). A Survey on Open-Source Flight Control Platforms of Unmanned Aerial Vehicle. In Proc. Euromicro Conf. Digit.Syst. Design (DSD), Aug. 2017, pp. 1–7.
  • Elmas, E. E. (2019). Bir İnsansız Hava Aracı Gerçekleştirme ve Hareketli Nesnelerin Tespit ve Takibinde Kullanımı. Yüksek lisans tezi, Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, 122s.
  • Emergenresearch (2022). Top 10 Companies in the Drone Package Delivery Industry. https://www.emergenresearch.com/blog/top-10-companies-in-the-drone-package-delivery-industry/, Accessed 29.06.2022.
  • Fahlstrom, P. G., Gleason, T. J. & Sadraey, M. H. (2022). Introduction to UAV Systems Fifth Edition. John Wiley & Sons, Inc., ISBN:978-1-119-80263-1, 464s.
  • Firefly (2022). Firefly Drone Shows. https://www.fireflydroneshows.com/, Accessed 29.06.2022.
  • Garre, P. & Harish, A. (2018). Autonomous Agricultural Pesticide Spraying UAV. IOP Conference Series: Materials Science Engineering, 455, doi:10.1088/1757-899X/455/1/012030.
  • Ge, X., Wang, J., Ding, J., Cao, X., Zhang, Z., Liu, J. & Li, X. (2019). Combining UAV-Based Hyperspectral Imagery and Machine Learning Algorithms for Soil Moisture Content Monitoring. PeerJ 7:e6926 DOI 10.7717/peerj.6926.
  • Goodrich, M. A., Morse, B. S., Gerhardt, D., Cooper, J. L., Quigley, M., Adams J A & Humphrey C (2008). Supporting Wilderness Search and Rescue Using a Camera‐Equipped Mini UAV. Journal of Field Robotics, 25(1‐2), 89-110.
  • Güçlü, A., Kurtuluş, D. F. & Arıkan, K. B. (2016). Sabit ve Döner Kanatlı Hava Aracının Yönelim Dinamiklerinin Hibrit Denetimi. Sürdürülebilir Havacılık Araştırmaları Dergisi, 1(2), 65-73.
  • Güleç Korumaz, A., Dülgerler, O. N. & Yakar, M. (2011). Kültürel Mirasın Belgelenmesinde Dijital Yaklaşımlar. Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 26 (3), 67-83.
  • Güner, S., Rathnayake, D., Ahmadi, N. B. & Kim, B. (2017). Using Unmanned Aerial Vehicles—Drones as a Logistic Method in Pharmaceutical Industry in Germany. Aviation, 1, 1-11.
  • Haboudane, D., Miller, J. R., Pattey, E., Zarco-Tejeda, P. J. & Strachan, I. B. (2004). Hyperspectral Vegetation Indices and Novel Algorithms for Predicting Green LAI of Crop Canopies: Modeling and Validation in the Context of Precision Agriculture. Remote Sensing of Enviroment, Vol:90, Issue 3, 2004 (pp.337-352).
  • Hassanalian, M. & Abdelkefi, A. (2017). Classifications, Applications and Design Challenges of Drones: A Review. Prog. Aerosp. Sci. 2017, 91.
  • Helicomicro (2017). La BMW Serie 1 et Mr Steele. https://www.helicomicro.com/2017/05/16/la-bmw-serie-1-steele/, Accessed 09.09.2022.
  • Hildebrand, J. (2017). Situating Hobby Drone Practices. Digital Culture & Society, 3(2), 207-218.
  • Honkavaara, E., Eskelinen, M. A., Pölönen, I., Saari, H., Ojanen, H., Mannila, R., Holmlund, C., Hakkala, T., Litkey, P, Rosnell, T., Viljanen, N. & Pulkkanen, M. (2016). Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV). IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 9, pp. 5440-5454, Sept. 2016, doi: 10.1109/TGRS.2016.2565471.
  • Huuskonen, J. & Oksanen, T. (2018). Soil Sampling with Drones and Augmented Reality in Precision Agriculture. Computers and Electronics in Agriculture, Volume 154 (2018), pages 25-35.
  • Hwang, Y. S., Schlüter, S., Lee, J. J. & Um, J. S. (2021). Evaluating the Correlation between Thermal Signatures of UAV Video Stream versus Photomosaic for Urban Rooftop Solar Panels. Remote Sensing. 2021; 13(23):4770.
  • Irizarry, J., Gheisari, M. & Walker, B. (2012). Usability Assessment of Drone Technology as Safety Inspection Tools. ITcon Vol. 17, page 194-212.
  • Jackisch, R., Lorenz, S., Zimmermann, R., Möckel, R. & Gloaguen, R. (2018). Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An example from the Sokolov Lignite District. Remote Sensing, 10(3), 385.
  • Jang, G., Kim, J., Yu, J., Kim, H., Kim, Y., Kim, D., Kim, K., Lee, C. & Chung, Y. (2020). Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application. Remote Sens. 2020, 12, 998; doi:10.3390/rs12060998.
  • Jayapandian, N. (2019). Cloud Enabled Smart Firefighting Drone Using Internet of Things. 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 2019, pp. 1079-1083, doi: 10.1109/ICSSIT46314.2019.8987873.
  • Jiao, Z., Zhang, Y., Xin, J., Mu, L., Yi, Y., Liu, H., & Liu, D. (2019). A Deep Learning Based Forest Fire Detection Approach Using UAV and Yolov3. In 2019 1st International Conference on Industrial Artificial Intelligence (IAI) (pp. 1-5). IEEE.
  • Junwon, S., Duque, L. & Wacker, J. (2018). Drone-Enabled Bridge Inspection Methodology and Application. Automation and Construction. Volume 94, October 2018, pp. 112-126.
  • Kahveci, M. & Can, N. (2017). İnsansız Hava Araçları: Tarihçesi, Tanımı, Dünyada ve Türkiye’deki Yasal Durumu. Selçuk Üniversitesi Mühendislik ve Teknoloji Dergisi, 5(4), 511-535.
  • Karaağaç, C. (2014). Geleceğin Harekât Ortamında İHA Sistemleri: Askeri Uygulamalar & Teknoloji Gereksinimleri. III. Ulusal Havacılıkta İleri Teknolojiler Konferansı, İstanbul, 2014.
  • Karaağaç, C. (2016). İHA Sistemleri Yol Haritası Geleceğin Hava Kuvvetleri 2016-2050. STM-Mühendislik Teknolojik Danışmanlık.
  • Karataş, L., Alptekin, A., Kanun, E. & Yakar, M. (2022). Tarihi kârgir yapılarda taş malzeme bozulmalarının İHA fotogrametrisi kullanarak tespiti ve belgelenmesi: Mersin Kanlıdivane ören yeri vaka çalışması. İçel Dergisi, 2(2), 41-49.
  • Kaya, Y., Polat, N., Şenol, H. İ., Memduhoglu, A. & Ulukavak, M. (2021). Arkeolojik Kalıntıların Belgelenmesinde Yersel ve İHA Fotogrametrisinin Birlikte Kullanımı. Türkiye Fotogrametri Dergisi, 3(1), 09-14.
  • Kaya, Y., Yiğit, A. Y., Ulvi, A. & Yakar, M. (2021). Arkeolojik alanların dokümantasyonununda fotogrametrik tekniklerinin doğruluklarının karşılaştırmalı analizi: Konya Yunuslar Örneği. Harita Dergisi, 165, 57-72.
  • Khadka, A., Fick, B., Afshar, A., Tavakoli, M. & Baqersad, J. (2020). Non-Contact Vibration Monitoring of Rotating Wind Turbines Using a Semi-Autonomous UAV. Mechanical Systems and Signal Processing, 138, 106446.
  • Kınalı, M. & Çalışkan, E. (2022). Use of Unmanned Aerial Vehicles in Forest Road Projects. Bartın Orman Fakültesi Dergisi, 24(3), 1-1.
  • Kirsch, M., Lorenz, S., Zimmermann, R., Tusa, L., Möckel, R., Hödl, P., Booysen, R., Khodadadzadeh, M. & Gloaguen, R. (2018). Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring. Remote Sensing, 10(9), 1366.
  • Köşe, K. & Aksoy, T. (2022). İnsansız Hava Aracı Fotogrametrisi Üzerine Bir Çalışma. GSI Journals Serie C: Advancements in Information Sciences and Technologies, 5(1), 77-89.
  • KraftTeknik Gaz Ölçüm Cihazları (2022). http://www.kraftteknik.com/urun/cnt.php?kid=121&kad=gaz-olcum-cihazlari_gaz-olcum-analiz-cihazlari/, Accessed 20.06.2022.
  • Kusak, L., Unel, F., Alptekin, A., Celik, M. & Yakar, M. (2021). Apriori Association Rule and K-Means Clustering Algorithms for Interpretation of Pre-Event Landslide Areas and Landslide Inventory Mapping. Open Geosciences, 13(1), 1226-1244.
  • Kwon, W., Park, J. H., Lee, M., Her, J., Kim, S. H. & Seo, J. W. (2019). Robust Autonomous Navigation of Unmanned Aerial Vehicles (UAVs) for Warehouses’ Inventory Application. IEEE Robotics and Automation Letters, 5(1), 243-249.
  • Lee, S. & Choi, Y. (2016). Reviews of Unmanned Aerial Vehicle (Drone) Technology Trends and its Applications in the Mining Industry. Geosyst. Eng. 2016, 19, 197–204.
  • Lentatek (2022). Karayel-Su Taktik İHA Sistemi. https://lentatek.com/tr/cozumler/karayel-su-taktik-iha-sistemi/, Accessed 05.07.2022.
  • Liao, K. C. & Lu, J. H. (2021). Using UAV to Detect Solar Module Fault Conditions of a Solar Power Farm with IR and Visual Image Analysis. Applied Sciences. 2021, 11(4), 1835.
  • Libellium Calibrated Air Quality Sensors for Smart Cities (2015). https://www.libelium.com/libeliumworld/calibrated-air-quality-gas-dust-particle-matter-pm10-smart-cities/, Accessed 28.06.2022.
  • Lin, Y., Jiang, M., Yao, Y., Zhang, L. & Lin, J. (2015). Use of UAV Oblique Imaging for the Detection of Individual Trees in Residential Environments. Urban Forestry & Urban Greening, 14(2), 404-412.
  • Macit, A. (2021). İnsansız Hava Araçlarının (İHA) Sivil Kullanımı ve Filo Sahibi İşletmeler Açısından Stratejik Önemine Yönelik Bir Araştırma. 14. Uluslararası Güncel Araştırmalarla Sosyal Bilimler Kongresi Tam Metinleri, s.1189-1195, ISBN: 978-605-74907-8-0.
  • Menteşoğlu, B. E. & İnan, M. (2016). İnsansız Hava Araçlarının (İHA) Ormancılık Uygulamalarında Kullanımı. VI. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2016), 5-7 Ekim 2016, Adana.
  • Mırdan, O. & Yakar, M. (2017). Tarihi Eserlerin İnsansız Hava Aracı ile Modellenmesinde Karşılaşılan Sorunlar. Geomatik, 2 (3), 118-125.
  • Morgenthal, G. & Hallermann, N. (2014). Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures. Advances in Structural Engineering, doi: 10.1260/1369-4332.17.3.289.
  • Motawa, I. A. & Kardakou, A. (2018). Unmanned Aerial Vehicles (UAVs) for Inspection in Construction and Building Industry. 16th International Operation & Maintenance Conference (OMAINTEC 2018), 18-20th November 2018, Cairo, Egypt.
  • Naidoo, Y., Stopforth, R. & Bright, G. (2011). Development of an UAV for Search & Rescue Applications. IEEE Africon'11 (pp. 1-6). IEEE.
  • Nesbit, P. R. & Hugenholtz, C. H. (2019). Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images. Remote Sensing. 11(3):239.
  • Newton, M. (2017). ND Filters – In Depth Guide For Beginners. https://www.theschoolofphotography.com/tutorials/nd-filters-in-depth-guide-for-beginners/, Accessed 29.06.2022.
  • Nex, F. & Remondino, F. (2013). UAV for 3D Mapping Applications: A Review. Applied Geomatics, 6(1), 1–15.doi:10.1007/s12518-013-0120-x.
  • Odo, A., McKenna, S., Flynn, D. & Vorstius, J. (2020). Towards the Automatic Visual Monitoring of Electricity Pylons from Aerial Images. 15th International Conference on Computer Vision Theory and Applications (pp. 566-573). VISAPP.
  • Oh, S., Ham, S. & Lee, S. (2021). Drone-Assisted Image Processing Scheme using Frame-Based Location Identification for Crack and Energy Loss Detection in Building Envelopes. Energies. 14, 6359.
  • Ok, A. O. & Ozdarici-Ok, A. (2017). Detection of Citrus Tree from UAV DSMS. ISPRS Annals o the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-1/W1, 2017 ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany.
  • Optronics Hyperspectral (2018). The RIKOLA Product Range. 2018. http://senop.fi/en/
  • optronics-hyperspectral/, Accessed 28.06.2022.
  • Oscarliang (2019). How to build a Racing Drone Tutorial (2019). https://oscarliang.com/build-racing-drone-fpv-quadcopter/, Accessed 11.09.2022.
  • O'Young, S. & Hubbard, P. (2007). RAVEN: A Maritime Surveillance Project Using Small UAV. In 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007) (pp. 904-907). IEEE.
  • Özcan, O. (2017). İnsansız Hava Aracı (İHA) ile Farklı Yüksekliklerden Üretilen Sayısal Yüzey Modellerinin (SYM) Doğruluk Analizi. Mühendislik ve Yer Bilimleri Dergisi, Cilt 2, Sayı 1, 1-7 s.
  • Öztürk, H. H. (2013). Yenilenebilir Enerji Kaynakları. Birsen Yayınevi, 1, ISBN: 9789755115894, 442s.
  • Photographylife (2022). Real Estate Drone Photography: A Complete Beginner’s Guide. https://photographylife.com/real-estate-drone-photography/. Accessed: 30.09.2022.
  • Police1 (2022). How to Use Drones for Crime and Accident Scene Documentation. https://www.police1.com/police-products/police-drones/articles/how-to-use-drones-for-crime-and-accident-scene-documentation-Ysk5xHDmCiQ5HdQZ/. Accessed: 30.09.2022.
  • Quater, P. B., Grimaccia, F., Leva, S., Mussetta, M. & Aghaei, M. (2014). Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants. IEEE Journal of Photovoltaics, vol. 4, no. 4, pp. 1107-1113, doi: 10.1109/JPHOTOV.2014.2323714.
  • Quebrajo L, Perez-Ruiz M, Pérez-Urrestarazu L, Martínez G & Egea G. (2018). Linking Thermal Imaging and Soil Remote Sensing to Enhance Irrigation Management of Sugar Beet. Biosystems Engineering, 165, 77–87.
  • Queralta, J. P., Raitoharju, J., Gia, T. N., Passalis, N. & Westerlund, T. (2020). Autosos: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. arXiv preprint arXiv:2005.03409.
  • Reinecke, M. & Prinsloo, T. (2017). The Influence of Drone Monitoring on Crop Health and Harvest Size. IEEE 1st International Conference in Next Generation Computing Applications (NextComp), 2017 (pp. 5-10).
  • Roketsan (2022). MAM-T Akıllı Mühimmat Sistemleri. https://www.roketsan.com.tr/tr/urunler/mam-t-akilli-muhimmat/, Accessed 05.07.2022.
  • Rosende, S. B., Sánchez-Soriano, J., Muñoz, C. Q. G. & Andrés, J. F. (2020). Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants. Energies. 2020; 13(21):5712. https://doi.org/10.3390/en13215712.
  • Rossi, M. & Brunelli, D. (2016). Autonomous Gas Detection and Mapping with Unmanned Aerial Vehicles. IEEE Transactıons on Instrumentation and Measurement, Vol. 65, No. 4, April 2016.
  • Rossi, P., Mancini, F., Dubbini, M., Mazzone, F. & Capra, A. (2017). Combining Nadir and Oblique UAV Imagery to Reconstruct Quarry Topography: Methodology and Feasibility Analysis. European Journal of Remote Sensing, 50:1, 211-221, DOI: 10.1080/22797254.2017.1313097.
  • Rouse, J. W., Haas, R. H., Schell, J. A. & Deering, D. W. (1973). Monitoring Vegetation Systems in the Great Plains with ERTS. In S. C. Freden & M. A. Becker (Eds.), Third ERTS Symposium (pp.309–317). Greenbelt, MD: NASA Goddard Space Flight Centre.
  • Sağıroğlu, Ö. (2004). Yersel Fotogrametrik Rölöve Ölçüm Tekniğinin Ömer Duruk Evi Örneği Üzerinde Uygulanması. Yüksek Lisans Tezi, Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, 182s.
  • Samad, A. M., Kamarulzaman, N., Hamdani, M. A., Mastor, T. A. & Hashim, K. A. (2013). The Potential of Unmanned Aerial Vehicle (UAV) for Civilian and Mapping Application. 2013 IEEE 3rd International Conference on System Engineering and Technology, 19-20 Aug. 2013, Shah Alam, Malaysia.
  • Scherer, J., Rinner, B., Yahyanejad, S., Hayat, S., Yanmaz, E., Andre, T., Khan, A., Vukadinovic, V., Bettstetter, C., Hellwagner, H. & Rinner, B. (2015). An Autonomous Multi-UAV System for Search and Rescue. Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use - DroNet ’15. doi:10.1145/2750675.2750683.
  • Seyrek, E. C., Narin, Ö. G., Koçak, T. & Uysal, M. (2021). Yüzey Araştırmalarında İHA Fotogrametrisinin Kullanımı: Kolankaya Siperleri Örneği. Türkiye Fotogrametri Dergisi, 3 (2), 69-75 . DOI: 10.53030/tufod.1021793.
  • Shahmoradi, J., Talebi, E., Roghanchi, P. & Hassanalian, M. (2020). A Comprehensive Review of Applications of Drone Technology in the Mining Industry. Drones (2020), 4, 34.
  • Shi, X., Han, W., Zhao, T. & Tang, J. (2019). Decision Support System for Variable Rate Irrigation Based on UAV Multispectral Remote Sensing. Sensors, 19, 2880.
  • Shukla, A., Xiaoqian, H., & Karki, H. (2016). Autonomous Tracking of Oil and Gas Pipelines by an Unmanned Aerial Vehicle. in 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 1-4). IEEE.
  • Silvagni, M., Tonoli, A., Zenerino, E. & Chiaberge, M. (2017). Multipurpose UAV for Search and Rescue Operations in Mountain Avalanche Events. Geomatics, Natural Hazards and Risk, 8(1), 18-33.
  • Silveira, B., Melo, R. & Costa, D. B. (2020). Using UAS for Roofs Structure Inspections at Post-Occupational Residential Buildings. In International Conference on Computing in Civil and Building Engineering (pp. 1055-1068). Springer, Cham.
  • Skddrone (2022). International Drone Events. https://www.skddrone.com/, Accessed 29.06.2022.
  • Skymagic (2022). Drone Light Shows. https://skymagic.show/, Accessed 29.06.2022.
  • Smith, N. G., Passone, L., Al-Said, S., Al-Farhan M., & Levy, T. E. (2014). Drones in Archaeology: Integrated Data Capture, Processing and Dissemination in the al-Ula Valley, Saudi Arabia. Near Eastern Archaeology, 77(3), 176.
  • Spiess, T., Bange, J., Buschman, M. & Vörsmann, P. (2007). First Application of the Meteorological Mini-UAV M2-AV. Meteorologische Zeitschrift, Vol. 16, No. 2, 159-169.
  • Şasi, A. (2020). Ak Camii’nin İnsansız Hava Aracı ile Fotogrametrik 3B Modellenmesi. Türkiye İnsansız Hava Araçları Dergisi, 2(1), 1-7.
  • Şenol, H. İ., Memduhoğlu, A., Ulukavak, M., Çetin, B., Polat, N. & Kaya, Y. (2019). Lazer Tarayıcı ve İnsansız Hava Aracı Kullanılarak Kızılkoyun Kral Kaya Mezarlarının 3 Boyutlu Belgelenmesi. TMMOB Harita ve Kadastro Mühendisleri Odası, 17. Türkiye Harita Bilimsel ve Teknik Kurultayı, 25-27 Nisan 2019, Ankara.
  • Tanut, B., Waranusast, R. & Riyamongkol, P. (2021). High Accuracy Pre-Harvest Sugarcane Yield Forecasting Model Utilizing Drone İmage Analysis, Data Mining, And Reverse Design Method. Agriculture, 11(7), 682.
  • Thapa, G. J., Thapa, K., Thapa, R., Jnawali, S. R., Wich, S. A., Poudyal, L. P. & Karki, S. (2018). Counting Crocodiles from the Sky: Monitoring the Critically Endangered Gharial (Gavialis Gangeticus) Population with an Unmanned Aerial Vehicle (UAV). Journal of Unmanned Vehicle Systems, 6(2), 71-82.
  • The Shool of Photography (2017). ND Filters – In Depth Guide For Beginners. https://www.theschoolofphotography.com/tutorials/nd-filters-in-depth-guide-for-beginners/, Accessed 29.06.2022.
  • Tkáč M & Mésároš P (2019). Utilizing Drone Technology in the Civil Engineering. Selected Scientific Papers - Journal of Civil Engineering, 14(1) 27-37.
  • Tubitak Sage (2022). Bozok Lazer Güdümlü Minyatür Mühimmat. https://www.sage.tubitak.gov.tr/sites/images/sage/bozok.pdf/, Accessed 05.07.2022.
  • Tucci, G., Gebbia, A., Conti, A., Fiorini, L. & Lubello, C. (2019). Monitoring and Computation of the Volumes of Stockpiles of Bulk Material by Means of UAV Photogrammetric Surveying. Remote Sensing. 2019; 11(12):1471.
  • Tutuş, Y. (2018). Tanıtım Film Yapım Sürecinde İnsansız Hava Araçlarının Kullanımı: Elazığ İline Yönelik Örnek Bir Uygulama/Usage of the Drons at Promotional Film Production: An Example Practise in Elazığ. Yüksek Lisans Tezi, Fırat Üniversitesi, Sosyal Bilimler Enstitüsü, Elazığ, 74s.
  • Tükenmez, F. (2021). Harita Mühendisliğinde İHA ile Karayolu Projelendirme. Türkiye Fotogrametri Dergisi, 3 (2), 53-61. DOI: 10.53030/tufod.1003187.
  • Türk, Y., Canyurt, H., Eker, R. & Aydın, A. (2022). İnsansız Hava Aracı ile Orman Yolu Kazı ve Dolgu Hacimlerinin Belirlenmesi: Bolu-Taşlıyayla Örneği. Ormancılık Araştırma Dergisi, Karok 2021 , 97-104 . DOI: 10.17568/ogmoad.1093695.
  • Ulvi, A. (2021). İHA Fotogrametrisine Genel Bakış: Geleneksel Topografik Harita Yapımı Tekniği ile Maliyet Karşılaştırması. BŞEÜ Fen Bilimleri Dergisi, 458-471.
  • Ulvi, A., Yakar, M., Yiğit, A. & Kaya, Y. (2019). The use of photogrammetric techniques in documenting cultural heritage: The Example of Aksaray Selime Sultan Tomb. Universal Journal of Engineering Science, 7(3), 64-73.
  • Ulvi, A., Yakar, M., Yiğit, A. Y. & Kaya, Y. (2020). İHA ve Yersel Fotogrametrik Teknikler Kullanarak Aksaray Kızıl Kilise’nin 3 Boyutlu Nokta Bulutu ve Modelinin Üretilmesi. Geomatik Dergisi, 5(1), 22-30.
  • Uysal, M., Polat, N., Toprak, A. S. & Yakar, M. (2013). 3d modeling of historical doger caravansaries by digital photogrammetry.
  • Vacca, G., Dessì, A. & Sacco, A. (2017). The Use of Nadir and Oblique UAV Images for Building Knowledge. ISPRS International Journal of Geo-Information. 6(12):393.
  • Vaned (2022). Real Estate Drone Photography: A Comprehensive Guide. https://www.vaned.com/blog/real-estate-drone-photography/. Accessed: 30.09.2022.
  • Verge (2022). Verge Aero Drone Shows. https://verge.aero/, Accessed 29.06.2022.
  • Vergouw, B., Nagel, H., Bondt, G. & Custers, B. (2016). Drone Technology: Types, Payloads, Applications, Frequency Spectrum Issues and Future Developments. The Future of Drone Use, 21–45.
  • Vhive (2020). How to Use Drones for Insurance Inspections. https://www.vhive.ai/how-to-use-drones-for-insurance-inspections/. Accessed: 30.09.2022.
  • Villi, O. (2019). İnsansız Hava Araçlarında Çok Bantlı Kamera Entegrasyonu ve Tarımsal Uygulamaları. Yüksek Lisans Tezi, Çukurova Üniversitesi, Fen Bilimleri Enstitüsü, Adana, 89s.
  • Wang, L. & Zhang, Z. (2017). Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images. IEEE Transactions on Industrial Electronics, 64(9), 7293-7303.
  • Wikipedia (2015). Neutral-Density Filter. https://en.wikipedia.org/wiki/Neutral-density_filter/, Accessed 29.06.2022.
  • Wing (2022). Wing Delivery is Easy to Use. https://wing.com/how-it-works/, Accessed 29.06.2022.
  • Yakar, M. & Yılmaz, H. M. (2008). Using in volume computing of digital close range photogrammetry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(3b).
  • Yakar, M. (2011). Using close range photogrammetry to measure the position of inaccessible geological features. Experimental Techniques, 35(1), 54-59.
  • Yakar, M., & Doğan, Y. (2017). Uzuncaburç Antik Kentinin İHA Kullanılarak Eğik Fotogrametri Yöntemiyle Üç Boyutlu Modellenmesi. 16. Türkiye Harita Bilimsel ve Teknik Kurultayı. TMMOB Harita ve Kadastro Mühendisleri Odası, Ankara.
  • Yakar, M., Yıldız, F. & Yılmaz, H. M. (2005). Tarihi ve Kültürel Mirasların Belgelenmesinde Jeodezi Fotogrametri Mühendislerinin Rolü. TMMOB Harita ve Kadastro Mühendisleri Odası, 10.
  • Yakar, M., Yılmaz, H. M., Mutluoğlu, H. M., (2009). Hacim Hesaplamalarında Laser Tarama ve Yersel Fotogrametrinin Kullanılması, TMMOB Harita ve Kadastro Mühendisleri Odası 12. Türkiye Harita Bilimsel ve Teknik Kurultayı , Ankara.
  • Yakar, M., Yilmaz, H. M. & Mutluoglu, O. (2010). Close range photogrammetry and robotic total station in volume calculation. International Journal of the Physical Sciences. 5(2), 086-096.
  • Yılmaz, H. M., Karabörk, H. & Yakar, M. (2000). Yersel fotogrametrinin kullanım alanları. Niğde Üniversitesi Mühendislik Bilimleri Dergisi, 4(1), 1.
  • Yılmaz, H. M., Yakar, M. & Yildiz, F. (2008). Digital photogrammetry in obtaining of 3D model data of irregular small objects. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 125-130.
  • Yiğit, A. Y. & Ulvi, A. (2020). İHA Fotogrametrisi Tekniği Kullanarak 3B Model Oluşturma: Yakutiye Medresesi Örneği. Türkiye Fotogrametri Dergisi, 2(2), 46-54.
  • Yilmaz, H. M. & Yakar, M. (2008). Computing Of Volume Of Excavation Areas By Digıtal Close Range Photogrammetry. Arabian J. Sci. Eng. 33(1A), 63-78.
  • Yuan, C., Liu, Z. & Zhang, Y. (2015). UAV-based Forest Fire Detection and Tracking Using Image Processing Techniques. 2015 International Conference on Unmanned Aircraft Systems (ICUAS) Denver Marriott Tech Center Denver, Colorado, USA, June 9-12, 2015.
  • Yuan, C., Liu, Z. & Zhang, Y. (2016). Vision-based Forest Fire Detection in Aerial Images for Firefighting Using UAVs. 2016 International Conference on Unmanned Aircraft Systems (ICUAS) Arlington, USA, June 7-10, 2016.
  • Zhang, J., Jung, J., Sohn, G. & Cohen, M. (2015). Thermal Infrared Inspection of Roof Insulation Using Unmanned Aerial Vehicles. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(1), 381.
  • Zhao, Z., Dao, R. Zhang, H., Zhang, F., Zeng, J. & Chen, C. (2021). Method of Physical Inventory Checking on Cigarette Stereoscopic Warehouse Based on UAV. In 2021 3rd International Conference on Pattern Recognition and Intelligent Systems (pp. 15-19).
  • Zhou, R., Wen, Z. & Su, H .(2022). Automatic Recognition of Earth Rock Embankment Leakage Based on UAV Passive İnfrared Thermography and Deep Learning. ISPRS Journal of Photogrammetry and Remote Sensing, 191, 85-104.
There are 165 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Derleme Makaleleri [tr] Review Articles [en]
Authors

Osman Villi 0000-0002-8174-409X

Murat Yakar 0000-0002-2664-6251

Early Pub Date December 23, 2022
Publication Date December 31, 2022
Submission Date October 14, 2022
Published in Issue Year 2022 Volume: 4 Issue: 2

Cite

APA Villi, O., & Yakar, M. (2022). İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. Türkiye İnsansız Hava Araçları Dergisi, 4(2), 73-100. https://doi.org/10.51534/tiha.1189263
AMA Villi O, Yakar M. İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. tiha. December 2022;4(2):73-100. doi:10.51534/tiha.1189263
Chicago Villi, Osman, and Murat Yakar. “İnsansız Hava Araçlarının Kullanım Alanları Ve Sensör Tipleri”. Türkiye İnsansız Hava Araçları Dergisi 4, no. 2 (December 2022): 73-100. https://doi.org/10.51534/tiha.1189263.
EndNote Villi O, Yakar M (December 1, 2022) İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. Türkiye İnsansız Hava Araçları Dergisi 4 2 73–100.
IEEE O. Villi and M. Yakar, “İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri”, tiha, vol. 4, no. 2, pp. 73–100, 2022, doi: 10.51534/tiha.1189263.
ISNAD Villi, Osman - Yakar, Murat. “İnsansız Hava Araçlarının Kullanım Alanları Ve Sensör Tipleri”. Türkiye İnsansız Hava Araçları Dergisi 4/2 (December 2022), 73-100. https://doi.org/10.51534/tiha.1189263.
JAMA Villi O, Yakar M. İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. tiha. 2022;4:73–100.
MLA Villi, Osman and Murat Yakar. “İnsansız Hava Araçlarının Kullanım Alanları Ve Sensör Tipleri”. Türkiye İnsansız Hava Araçları Dergisi, vol. 4, no. 2, 2022, pp. 73-100, doi:10.51534/tiha.1189263.
Vancouver Villi O, Yakar M. İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. tiha. 2022;4(2):73-100.

Cited By

Kısa Pistli Uçak Gemilerinden Operasyonel Olarak İHA Kaldırmak İçin Maliyet Etkin Bir Yaklaşım
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi
https://doi.org/10.21605/cukurovaumfd.1459342
3 Boyutlu Yazıcıların İnsansız Hava Aracı Uygulamalarında Kullanımı
Türkiye İnsansız Hava Araçları Dergisi
https://doi.org/10.51534/tiha.1315188
HEDEFE ODAKLANAN İNSANSIZ HAVA ARACIN ÜÇ BOYUTLU BASKI TEKNOLOJİSİ İLE ÜRETİMİ VE KONTROLÜ
International Journal of 3D Printing Technologies and Digital Industry
https://doi.org/10.46519/ij3dptdi.1377060
AFETLERDE YARDIM MALZEMELERİ ULAŞTIRMASINDA İNSANSIZ HAVA ARACI KULLANIMI
Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi
https://doi.org/10.54707/meric.1325462
İNSANSIZ HAVA ARAÇLARI VE VERİMLİLİK İLİŞKİSİ ÜZERİNE BİR BİBLİYOMETRİK ANALİZ
R&S - Research Studies Anatolia Journal
https://doi.org/10.33723/rs.1341624
Exploring structural deterioration at historical buildings with UAV photogrammetry
Cultural Heritage and Science
https://doi.org/10.58598/cuhes.1316822
İnsansız Hava Araçları ve Coğrafi Bilgi Sistemleri Uygulamaları
Türkiye Coğrafi Bilgi Sistemleri Dergisi
https://doi.org/10.56130/tucbis.1297245
 Download Cover Image