[1] [1] Ammar A, Koubaa A, Ahmed M, et al. Vehicle Detection from Aerial Images Using Deep Learning: A Comparative Study［J］. Electronics. 2021, 10(7): 820.

[3] [3] Kumar S, Rajan E G, Rani S,et al. A Study on Vehicle Detection through Aerial Images: Various Challenges, Issues and Applications［C］. Greater Noida: International Conference on Computing, Communication, and Intelligent Systems, 2021.

[5] [5] Osco L P, Jose M J, Ana P M R, et al. A Review on Deep Learning in UAV Remote Sensing［J］. International Journal of Applied Earth Observation and Geoinformation, 2021, 102: 102456.

[10] [10] Guo Y, Chen S, Wu Z, et al. Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform［J］. Remote Sensing, 2021, 13(9): 1795.

[11] [11] Inoue Y, Masaki Y. Drone-based Remote Sensing of Crops and Soils and Its Application to Smart Agriculture［J］. Journal of The Remote Sensing Society of Japan, 2017, 37（3）: 224-235.

[16] [16] Ronneberger O, Philipp F, Thomas B. U-net: Convolutional Networks for Biomedical Image Segmentation［C］. Cham: International conference on medical image computing and computer-assisted intervention, 2015.

[19] [19] Ammour N, Alhichri H, Bazi Y, et al. Deep Learning Approach for Car Detection in UAV Imagery［J］. Remote Sensing, 2017, 9(4): 312.

[20] [20] Moranduzzo T, Farid M. Automatic Car Counting Method for Unmanned Aerial Vehicle Images［J］. IEEE Transactions on Geoscience and Remote Sensing, 2013, 52（3）: 1635-1647.