Small target detection algorithm of drones based on improved Faster R-CNN

Yang ZHANG; Zhengdong CHENG; Bin ZHU

doi:10.3969/j.issn.1007461.2022.03.007

[1] Ma Y X, Tan L, Dong X, et al. Action recognition for intelligent monitoring[J]. Journal of Image and Graphics, 2019, 24(2): 282-290.

[2] Wang X W, Zhang Y, Guo Z, et al. Research on methods of semantic concept detection from medical images[J]. Chinese Journal of Biomedical Engineering, 2019, 38(3): 306-314.

[3] Zhang X H, Yao L B, Lü Y F, et al. Center based model for arbitrary-oriented ship detection in remote sensing images[J]. Acta Photonica Sinica, 2020, 49(4): 210-218.

[4] Cai Y M, Jiang Y H, Zhao S. Development status and trend analysis of counter UAV systems[J]. Aerospace Electronic Warfare, 2017, 33(2): 59-64.

[5] Li G J. Study on risk assessment and defensive strategy of terrorist attacks on civil UAV[J]. Journal of People’s Public Security University of China(Social Sciences Edition), 2017, 33(3): 9-14.

[6] Klare J, Biallawons O, Cerutti-Maori D. Detection of UAVs using the MIMO radar MIRA-CLE Ka[C]. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, 2016: 1-4.

[8] Qin Q, Xu Y. Study of assignment of multi-system cooperative detection for LSS-target[J]. Journal of Air Force Radar Academy, 2012, 26(1): 28-31.

[9] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60(6): 84-90.

[10] Deng J, Dong W, Socher R, et al. ImageNet: A large-scale hierarchical image database[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2009: 248-255.

[11] Ma X Q, Sang Q B. Handwritten signature verification algorithm based on LBP and deep learning[J]. Chinese Journal of Quantum Electronics, 2017, 34(1): 23-31.

[12] Lin L. Small Object Detection Based on Deep Learning[D]. Chengdu: University of Electronic Science and Technology of China, 2020.

[13] Liu W, Anguelov D, Erhan D, et al. SSD: single shot MultiBox detector[C]. Computer Vision-ECCV 2016, 2016: 21-37.

[14] Redmon J, Farhadi A. YOLO9000: Better, faster, stronger[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2017: 6517-6525.

[15] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, real-time object detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.

[16] Redmon J, Farhadi A. YOLOv3: An incremental improvement[OL]. https://arxiv.org/abs/1804.02767.

[17] Fu C Y, Liu W, Ranga A, et al. DSSD: deconvolutional single shot detector[OL]. 2017, https://arxiv.org/abs/1701.06659.

[18] He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2016: 770-778.

[19] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2014: 58087.

[20] Ren S Q, He K M, Girshick R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.

[21] Lin T Y, Dollár P, Girshick R, et al. Feature pyramid networks for object detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2017: 936-944.

[22] Ma Q, Zhu B, Zhang H W, et al. Low-altitude UAV detection and recognition method based on optimized YOLOv3[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201006.