Remote Sensing Image Target Detection Method Based on Refined Feature Extraction

doi:10.3390/app13158694

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	Remote Sensing Image Target Detection Method Based on Refined Feature Extraction
	Tian, Bo; Chen, Hui
	2023-08
发表期刊	APPLIED SCIENCES-BASEL
ISSN	2076-3417
卷号	13 期号:15
摘要	To address the challenges posed by the large scale and dense distribution of small targets in remote sensing images, as well as the issues of missed detection and false detection, this paper proposes a one-stage target detection algorithm, DCN-YOLO, based on refined feature extraction techniques. First, we introduce DCNv2 and a residual structure to reconstruct a new backbone network, which enhances the extraction of shallow feature information and improves the network's accuracy. Then, a novel feature fusion module is employed in the neck network to adaptively adjust the fusion weight for integrating texture information from shallow features with deep semantic information. This targeted approach effectively suppresses noise caused by extracting shallow features and enhances the representation of key features. Moreover, the normalized Gaussian Wasserstein distance loss, replacing Intersection over Union (IoU), is used as the regression loss function in the model, to enhance the detection capability of multi-scale targets. Finally, comparing our evaluations against recent advanced methods such as YOLOv7 and YOLOv6 demonstrates the effectiveness of the proposed approach, which achieves an average accuracy of 20.1% for small targets on the DOTAv1.0 dataset and 29.0% on the DIOR dataset.
关键词	remote sensing images target detection refinement feature extraction deformable convolution SimAM attention mechanism
DOI	10.3390/app13158694
收录类别	SCIE
语种	英语
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
WOS类目	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:001045466200001
出版者	MDPI
原始文献类型	Article
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/166160
专题	党委统战部电气工程与信息工程学院
通讯作者	Chen, Hui
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
第一作者单位	电气工程与信息工程学院
通讯作者单位	电气工程与信息工程学院
第一作者的第一单位	电气工程与信息工程学院
推荐引用方式 GB/T 7714	Tian, Bo,Chen, Hui. Remote Sensing Image Target Detection Method Based on Refined Feature Extraction[J]. APPLIED SCIENCES-BASEL,2023,13(15).
APA	Tian, Bo,&Chen, Hui.(2023).Remote Sensing Image Target Detection Method Based on Refined Feature Extraction.APPLIED SCIENCES-BASEL,13(15).
MLA	Tian, Bo,et al."Remote Sensing Image Target Detection Method Based on Refined Feature Extraction".APPLIED SCIENCES-BASEL 13.15(2023).