[1] [1] Liu Wei, Feng Bingwen, Weng Jian. Survey on research of mini-drones security［J］. Chinese J. of Network and Information Security, 2016, 2(3): 39-45.

[2] [2] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation［C］// Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2014: 580-587.

[4] [4] Liu Wei, Anguelov D, Erhan D, et al. SSD: single shot multibox detector［C］// European Conf. on Computer Vision(ECCV), 2016: 21-37.

[5] [5] Girshick R. Fast R-CNN［C］// Proc. of the IEEE Inter. Conf. on Computer Vision, 2015: 1440-1448.

[6] [6] Ren S, He K, Girshick R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks［C］//Advances in Neural Information Processing Systems, 2015: 91-99.

[7] [7] Liu Jiaming. Research on UAV recognition method based on DCNN［J］. Ship Electronic Engineering, 2019, 39(2): 22-26.

[8] [8] Zhen Ran, Yu Jiaxing, Zhao Guohua, et al. Simulation research on UAV recognition method based on convolutional neural network［J］. J. of Hebei University of Science and Technol., 2019, 40(5): 397-403.

[9] [9] Li Bin, Zhang Caixia, Yang Yang, et al. Drone target detection algorithm for depth representation in complex scenes［JB/OL］. Computer Engineering and Applications: 1-7［2019-10-10］. http://kns.cnki.net/kcms/detail/11.2127.TP.20190916.1003.002.html.

[10] [10] Redmon J, Farhadi A. YOLOv3: An incremental improvement［J］. arXiv preprint, 2018: 1804.02767.

[11] [11] Li Qiuzhen, Xiong Raorao, Wang Rupeng, et al. Research on real-time UAV recognition method based on SSD algorithm［J］. Ship Electronic Engineering, 2019, 39(5): 30-35.

[12] [12] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition［J］. arXiv eprint, 2014: 1409.1556.

[13] [13] Lin Tsung Yi, Dollar P. Feature pyramid networks for object detection［C］// Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2017: 2117-2125.