Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3275(2022)
Improved YOLOv4 Remote Sensing Image Detection Method of Ground Objects Along Railway
Fig. 6. Test results of ablation experiments
(a): Original remote sensing images; (b): Detection using YOLOv4; (c): Improved DenseNet detection for original YOLOv4 feature extraction; (d): Improved DenseNet and SE modules for original YOLOv4 detection; (e): Improved DenseNet, SE and CBAM modules for original YOLOv4 detection
Fig. 7. Experimental results of different target detection algorithms and improved algorithms
(a): Original remote sensing images; (b): Detection using YOLOv3 algorithm; (c): Detection using YOLOv3-UAV[10];(d): Detection using YOLOv3-ship[11]; (e): Detection using original YOLOv4; (f): Detection using the algorithm proposed in this paper
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Yang-ping WANG, Shu-mei HAN, Jing-yu YANG, Jian-wu DANG, Zhan-ping ZHANG. Improved YOLOv4 Remote Sensing Image Detection Method of Ground Objects Along Railway[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3275
Category: Research Articles
Received: Aug. 23, 2021
Accepted: Mar. 1, 2022
Published Online: Nov. 23, 2022
The Author Email: Yang-ping WANG (1328396793@qq.com)