Optical Technique, Volume. 47, Issue 3, 344(2021)
Research on remote sensing image aircraft target detection techonlogy based on YOLOv4-tiny
[2] [2] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]∥Proceedings of 2014 IEEE International Conferenceon Computer Vision and Pattern Recognition.Columbus,OH:IEEE,2014:580-587.
[3] [3] Girshick R. Fast R-CNN[C]∥Proceedings of 2015 IEEE International Conference on Computer Vision. Santiago:IEEE,2015:1440-1448.
[7] [7] Fariborz Ghorbani, Hamid Ebadi, Amin Sedaghat. Geospatial target detection from high-resolution remote-sensing images based on PIIFD descriptor and salient regions[J]. Journal of the Indian Society of Remote Sensing,2019,47(5):879-891.
[8] [8] Changqing Cao, Jin Wu, Xiaodong Zeng, et al. Rseearch on airplane and ship detection of aerial remote sensing images based on convolutional neural network[J]. Sensors,2020,20(17):4696.
[9] [9] Yuelei Xu, Mingming Zhu, Peng Xin, et al. Rapid airplane detection in remote sensing images based on multilayers feature fusion in fully convolutional neural networks[J]. Sensors,2018,18(7):2335.
[10] [10] Redmon J, Farhadi A. YOLO9000:better,faster,stronger[EB/OL]. arXiv: 1612.08242v1[cs.CV].(2016-12)/[2020-12]. https:∥pjreddie.com/yolo9000/.
[11] [11] Bochkovskiy A, Wang C Y, Liao H Y. YOLOv4:optimal speed and accuracy of object detection[EB/OL]. arXiv: 2004.10934v1[cs.CV]. (2020-04)/[2020-12]. https:∥arxiv.org/abs/2004.10934.
[12] [12] Rrdmon J, Farhadi A. YOLO v3: an incremental improvement[EB/OL] (2018-11)/[2020-12]. http:∥arxiv.org/pdf/1804.02767v1.pdf.
[13] [13] He K M, Zhang X Y, Ren S Q, et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(9):1904-1916.
[14] [14] Diganta M. Mish: A self regularized nonmonotonic neural activation function[EB/OL].arXiv:1908.08681.(2019-04)/[2020-12]. https:∥arxiv.org/pdf/1908.08681.pdf.
Get Citation
Copy Citation Text
ZHANG Xin, ZHANG Yongqiang, HE Bin, LI Guoning. Research on remote sensing image aircraft target detection techonlogy based on YOLOv4-tiny[J]. Optical Technique, 2021, 47(3): 344
Category:
Received: Nov. 24, 2020
Accepted: --
Published Online: Aug. 22, 2021
The Author Email: Xin ZHANG (1535795748@qq.com)
CSTR:32186.14.