A Semantic Feature Enhancement-Based Aerial Image Target Detection Method Using Dense RFB-FE

doi:10.4018/IJSWIS.331083

CIOMP OpenIR

	A Semantic Feature Enhancement-Based Aerial Image Target Detection Method Using Dense RFB-FE
	X. Li and J. Zhang
	2023
发表期刊	International Journal on Semantic Web and Information Systems
ISSN	15526283
卷号	19 期号:1
摘要	Aerial image target detection is a challenging task due to the complex backgrounds, dense target distribution, and large-scale differences often present in aerial images. Existing methods often struggle to effectively extract detailed features and address the issue of imbalanced positive and negative samples. To tackle these challenges, an aerial image target detection method (dense RFB-FE-CGAM) based on dense RFB-FE and channel-global attention mechanism (CGAM) was proposed. First, the authors design a shallow feature enhancement module using dense RFB feature multiplexing and expand convolution within an SSD network, improving detailed feature extraction. Second, they introduce CGAM, a global attention module, to enhance semantic feature extraction in backbone networks. Finally, they incorporate a focal loss function for joint training, addressing sample imbalance. In experiments, the method achieved an mAP of 0.755 on the DOTA dataset and recall/ AP values of 0.889/0.906 on HRSC2016, confirming the effectiveness of dense RFB-FE-CGAM for aerial image target detection. © 2023 IGI Global. All rights reserved.
DOI	10.4018/IJSWIS.331083
URL	查看原文
收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67647
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	X. Li and J. Zhang. A Semantic Feature Enhancement-Based Aerial Image Target Detection Method Using Dense RFB-FE[J]. International Journal on Semantic Web and Information Systems,2023,19(1).
APA	X. Li and J. Zhang.(2023).A Semantic Feature Enhancement-Based Aerial Image Target Detection Method Using Dense RFB-FE.International Journal on Semantic Web and Information Systems,19(1).
MLA	X. Li and J. Zhang."A Semantic Feature Enhancement-Based Aerial Image Target Detection Method Using Dense RFB-FE".International Journal on Semantic Web and Information Systems 19.1(2023).

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
A Semantic Feature E（1069KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文