An Improved Method for Ship Target Detection Based on YOLOv4

doi:10.3390/app13031302

CIOMP OpenIR

	An Improved Method for Ship Target Detection Based on YOLOv4
	Z. X. Huang; X. A. Jiang; F. L. Wu; Y. Fu; Y. Zhang; T. J. Fu and J. Y. Pei
	2023
发表期刊	Applied Sciences-Basel
卷号	13 期号:3 页码:16
摘要	The resolution of remote sensing images has increased with the maturation of satellite technology. Ship detection technology based on remote sensing images makes it possible to monitor a large range and far sea area, which can greatly enrich the monitoring means of maritime departments. In this paper, we conducted research on small target detection and resistance to complex background interference. First, a ship dataset with four types of targets (aircraft carriers, warships, merchant ships and submarines) is constructed, and experiments are conducted on the dataset using the object detection algorithm YOLOv4. The Kmeans++ clustering algorithm is used for a priori frame selection, and the migration learning method is used to enhance the detection effect of the YOLOv4. Second, the model is improved to address the problems of missed detection of small ships and difficulty in resisting background interference: the RFB_s (Receptive Field Block) with dilated convolution is introduced instead of the SPP (Spatial Pyramid Pooling) to enlarge the receptive field and improve the detection of small targets; the attention mechanism CBAM (Convolutional Block Attention Module) is added to adjust the weights of different features to highlight salient features useful for ship detection task, which improve the detection performance of small ships and improve the model's ability to resist complex background. Compared to YOLOv4, our proposed model achieved a large improvement in mAP (mean Average Precision) from 77.66% to 91.40%.
DOI	10.3390/app13031302
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67543
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Z. X. Huang,X. A. Jiang,F. L. Wu,et al. An Improved Method for Ship Target Detection Based on YOLOv4[J]. Applied Sciences-Basel,2023,13(3):16.
APA	Z. X. Huang,X. A. Jiang,F. L. Wu,Y. Fu,Y. Zhang,&T. J. Fu and J. Y. Pei.(2023).An Improved Method for Ship Target Detection Based on YOLOv4.Applied Sciences-Basel,13(3),16.
MLA	Z. X. Huang,et al."An Improved Method for Ship Target Detection Based on YOLOv4".Applied Sciences-Basel 13.3(2023):16.

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