Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2210004(2022)
Lightweight Object Detection Method for Optical Remote Sensing Image
[1] Ji X F, Qin N L. Design and implementation of multi-target detection and recognition algorithm for optical remote sensing image[J]. Journal of Computer Applications, 35, 3302-3307(2015).
[3] Meng F, Fang S H. Quasi-automatic extraction of zonal roads from remote sensing images using template matching and BSnake model[J]. Geomatics and Information Science of Wuhan University, 37, 39-42(2012).
[18] Yuan Q Z, Wei S J, Luo N. Research on SAR satellite target recognition system based on deep learning neural network[J]. Aerospace Shanghai, 34, 46-53(2017).
[19] Xiao H C, Zhang J H, Wang P et al. Research on remote sensing image in-orbit target detection technology based on deep learning[C], 10(2018).
[20] Jiao T Z, Hu Y X, Lü P et al. A method of multi-ship target detection and tracking by on-orbit satellite[J]. Journal of University of Chinese Academy of Sciences, 37, 368-378(2020).
[28] Jiang C H. The study of pruning methods of deep neural network[D](2019).
[31] Zhang G R, Chen X, Zhao Y et al. Lightweight YOLOv3 algorithm for small target detection[J]. Acta Optics, 59, 1610008(2022).
[32] Jiang R Q, Ye Z C, Peng Y P et al. A lightweight target detection algorithm for small and weak UAV targets[J]. Laser & Optoelectronics Progress, 59, 0810006(2022).
[33] Cheng Y Q, Wang Y, Fan Y Y et al. Lightweight object detection network based on convolutional neural network[J]. Laser & Optoelectronics Progress, 58, 1610023(2021).
Get Citation
Copy Citation Text
Hao Wang, Zengshan Yin, Guohua Liu, Denghui Hu, Shuang Gao. Lightweight Object Detection Method for Optical Remote Sensing Image[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2210004
Category: Image Processing
Received: Jul. 29, 2021
Accepted: Sep. 28, 2021
Published Online: Sep. 23, 2022
The Author Email: Wang Hao (xidianwhgood@163.com)