Object Detection Algorithm of Optical Remote Sensing Images Based on YOLOv3

Peng Wang; Xuejing Xin; Liqin Wang; Rui Liu

doi:10.3788/LOP202158.2028006

[1] 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, 39, 1137-1149(2017).

[2] Xu Z J, Ding Y. Ship object detection of remote sensing images based on adaptive rotation region proposal network[J]. Laser & Optoelectronics Progress, 57, 242805(2020).

[3] Ou P, Zhang Z, Lu K et al. Object detection in of remote sensing images based on convolutional neural networks[J]. Laser & Optoelectronics Progress, 56, 051002(2019).

[4] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA, 779-788(2016).

[5] Redmon J, Farhadi A. YOLOv3: an incremental improvement[EB/OL]. (2018-08-08)[2020-11-05]. https://arxiv.org/abs/1804.02767

[6] Li C Y, Yao J M, Lin Z X et al. Object detection method based on improved YOLO lightweight network[J]. Laser & Optoelectronics Progress, 57, 141003(2020).

[7] Li X, Cai K Y. Method research on ship detection in remote sensing image based on Yolo algorithm[C]. //2020 International Conference on Information Science, Parallel and Distributed Systems (ISPDS), August 14-16, 2020, Xi’an, China., 104-108(2020).

[8] Liu R W, Wang T, Zhou Y et al. A satellite image target detection model based on an improved single-stage target detection network[C]. //2019 Chinese Automation Congress (CAC), November 22-24, 2019, Hangzhou, China., 4931-4936(2019).

[9] Rezatofighi H, Tsoi N, Gwak J Y et al. Generalized intersection over union: a metric and a loss for bounding box regression[C]. //Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 15-20, 2019, Long Beach, CA, USA, 658-666(2019).

[10] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12993-13000(2020).

[11] Li K, Wan G, Cheng G et al. Object detection in optical remote sensing images: a survey and a new benchmark[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 159, 296-307(2020).

[12] Long Y, Gong Y P, Xiao Z F et al. Accurate object localization in remote sensing images based on convolutional neural networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 2486-2498(2017).

[13] Xiao Z F, Liu Q, Tang G F et al. Elliptic Fourier transformation-based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images[J]. International Journal of Remote Sensing, 36, 618-644(2015).

[14] Zhang Y L, Yuan Y, Feng Y C et al. Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 5535-5548(2019).

[15] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 21-37(2016).