Urban Remote Sensing. Группа авторов
Navigation and Control Conference (CGNCC), 2018 IEEE, pp. 1–6.
30 Dong, X., Ren, Y., Meng, J. et al. (2018) Design and Implementation of Multi‐rotor UAV Power Relay Platform. 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2018 2nd IEEE, pp. 1142–1146.
31 Erenoglu, R.C., Erenoglu, O. and Arslan, N. (2018) Accuracy assessment of low cost UAV based city modelling for urban planning. Tehnicki Vjesnik‐Technical Gazette, 25 (6), 1708–1714.
32 Federal Aviation Administration (2013) Pack safe: lithiumion and lithium metal batteries, spare (uninstalled). Available: https://www.faa.gov/hazmat/packsafe/more_info/?hazmat=7 (accessed 20 June 2018).
33 Floro da Silva, N.B. and Branco, K.R.L.J.C. (2013) A New Concept of VTOL as Fixed‐wing. International Conference on Unmanned Aircraft Systems (ICUAS), IEEE, Atlanta, GA, USA, May 28–31, 2013
34 Forlani, G., Dall’Asta, E., Diotri, F. et al. (2018) Quality assessment of DSMs produced from UAV flights georeferenced with on‐board RTK positioning. Remote Sensing, 10(2), 311.
35 Forsmoo, J., Anderson, K., Macleod, C.J.A. et al. (2019) Structure from motion photogrammetry in ecology: does the choice of software matter? Ecology & Evolution (20457758), 9(23), 12964–12979.
36 Fraser, B.T. and Congalton, R.G. (2018) Issues in unmanned aerial systems (UAS) data collection of complex forest environments. Remote Sensing, 10(6), 908.
37 Gabrlik, P., Cour‐Harbo, A., Kalvodova, P., Zalud, L. and Janata, P. (2018) Calibration and accuracy assessment in a direct georeferencing system for UAS photogrammetry. International Journal of Remote Sensing, 39 (15–16), 4931–4959.
38 Gagliolo, S., Ausonio, E., Federici, B. et al. (2018) 3D culture heritage documentation: a comparison between different photogrammetric software and their products. The International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42, 2, 347–354.
39 Gilman, D. (2014) Unmanned Aerial Vehicles in Humanitarian Response, United Nations Office for the Coordination of Humanitarian Affairs (OCHA), Geneva.
40 Gonzalez‐Aguilera, D., Crespo‐Matellan, E., Hernandez‐Lopez, D. and Rodriguez‐Gonzalvez, P. (2012) Automated urban analysis based on LiDAR‐derived building models. IEEE Transactions on Geoscience & Remote Sensing, 51(3), 1844–1851.
41 González‐Jorge, H., Martínez‐Sánchez, J., Bueno, M. and Arias, a.P. (2017) Unmanned aerial systems for civil applications: a review. Drones, 1(1), 2.
42 Grubesic, T.H., Wallace, D., Chamberlain, A.W. and Nelson, J.R. (2018) Using unmanned aerial systems (UAS) for remotely sensing physical disorder in neighborhoods. Landscape & Urban Planning, 169, 148–159.
43 Haboudane, D., Miller, J.R., Pattey, E., Zarco‐Tejada, P. and 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 Environment, 90(3), 337–352.
44 Hardy, A., Makame, M., Cross, D., Majambere, S. and Msellem, M. (2017) Using low‐cost drones to map malaria vector habitats. Parasites & Vectors, 10, 1–13.
45 Hassan, F.M., Lim, H.S. and Mat Jafri, M.Z. (2011) CropCam UAV for land use/land cover mapping over Penang Island, Malaysia. Pertanika Journal of Science & Technology, 19, 70–76.
46 Hodgson, J.C. and Koh, L.P. (2016) Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research. Current Biology, 26 (10),R404–R405.
47 Howell, T.L., Singh, K.K. and Smart, L. (2018) Structure from motion techniques for estimating the volume of wood chips. in High Spatial Resolution Remote Sensing: Data, Techniques, and Applications (eds Y. He and Q. Weng), pp. 149–164. Boca Raton: CRC Press.
48 Hu, J. and Lanzon, A. (2018) An innovative tri‐rotor drone and associated distributed aerial drone swarm control. Robotics & Autonomous Systems, 103, 162–174.
49 Hussain, E., Ural, S., Kim, K., Fu, C. and Shan, J. (2011) Building extraction and rubble mapping for City Port‐au‐Prince post‐2010 earthquake with GeoEye‐1 imagery and Lidar data. Photogrammetric Engineering & Remote Sensing, 77 (10), 1011–1023.
50 Iizuka, K., Kato, T., Silsigia, S., Soufiningrum, A.Y. and Kozan, O. (2019) Estimating and examining the sensitivity of different vegetation indices to fractions of vegetation cover at different scaling Grids for Early Stage Acacia Plantation Forests Using a Fixed‐Wing UAS. Remote Sensing, 11 (15), 1816.
51 Ippolito, C., Krishnakumar, K. and Hening, S. (2016) Preliminary Results of Powerline Reconstruction from Airborne LiDAR for Safe Autonomous Low‐Altitude Urban Operations of Small UAS. 2016 IEEE Sensors. IEEE, Orlando, FL, October 30 – November 3, 2016, p. 1.
52 Jantawong, J. and Deelertpaiboon, C. (2018) Automatic Landing Control Based on GPS for Fixed‐Wing Aircraft. 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI‐CON), pp. 313–316.
53 Jayathunga, S., Owari, T. and Tsuyuki, S. (2018) The use of fixed–wing UAV photogrammetry with LiDAR DTM to estimate merchantable volume and carbon stock in living biomass over a mixed conifer–broadleaf forest. International Journal of Applied Earth Observations & Geoinformation, 73, 767–777.
54 Jensen, J.R. and Cowen, D.C. (1999) Remote sensing of urban/suburban infrastructure and socio‐economic attributes. Photogrammetric Engineering & Remote Sensing, 65, 611–622.
55 Joshi, A., Tripathi, A. and Ponnalgu, R.N. (2019) Modelling and Design of a Hybrid Aerial Vehicle Combining VTOL Capabilities with Fixed Wing Aircraft. 2019 6th International Conference on Instrumentation, Control, and Automation (ICA), pp. 47–51.
56 Kislik, C., Dronova, I. and Kelly, M. (2018) UAVs in support of algal bloom research: a review of current applications and future opportunities. Drones, 2(4), 35.
57 Kit, O., Lüdeke, M. and Reckien, D. (2012) Texture‐based identification of urban slums in Hyderabad, India using remote sensing data. Applied Geography, 32(2), 660–667.
58 Kršák, B., Blišťan, P., Pauliková, A. et al. (2016) Use of low‐cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study. Measurement, 91, 276–287.
59 Küng, O., Strecha, C., Fua, P. et al. (2011) Simplified building models extraction from ultra‐light UAV imagery. ISPRS ‐ International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 3822, 217–222.
60 Lavecchia, F., Guerra, M. and Galantucci, L. (2017) The influence of software algorithms on photogrammetric micro‐feature measurement's uncertainty. International Journal of Advanced Manufacturing Technology, 93 (9–12), 3991–4005.
61 Li, C., Jin, W., Li, D. and Xi, Y. (2019) Vision‐aided Automatic Landing Design for Small Twin‐engine Fixed Wing UAV. 2019 IEEE 15th International Conference on Control and Automation (ICCA), Control and Automation (ICCA), 2019 IEEE 15th International Conference on, pp. 435–440.
62 Lin, Z., Castano, L., Mortimer, E. and Xu, H. (2020) Fast 3D collision avoidance algorithm for fixed wing UAS. Journal of Intelligent & Robotic Systems, 97(3), 577–604.
63 Liu, Y., Zheng, X., Ai, G., Zhang, Y. and Zuo, Y. (2018) Generating a high‐precision true digital orthophoto map based on UAV images. ISPRS International Journal of Geo‐Information, 7(9), 333.
64 Lowe, D.G. (2004) Distinctive image features from scale‐invariant keypoints. International Journal of Computer Vision, 60(2), 91–110.
65 Mazur, A.M. and Domanski, R. (2019) Hybrid energy systems in unmanned aerial vehicles. Aircraft Engineering & Aerospace Technology, 91 (5), 736–746.
66 Mesas‐Carrascosa, F., García, M.D.N., de Larriva, J.E.M. and García‐Ferrer, A. (2016) An analysis of the influence of flight parameters in the generation of unmanned aerial vehicle (UAV) orthomosaicks to