AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection

doi:10.1109/jstars.2024.3354244

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	AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection
	K. Y. Wang, X. Y. Wu, P. C. Zhou, Z. T. Chen, R. Zhang, L. Y. Yang and Y. S. Li
	2024
发表期刊	Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN	1939-1404
卷号	17 页码:4208-4221
摘要	Infrared small target detection is considerably challenging due to the few pixels in targets, low signal-to-noise ratio, and complex background. In this article, we propose an effective attention-guided feature enhancement network (AFE-Net), which can leverage the local and nonlocal features of targets and background in infrared images. The AFE-Net consists of three key modules, namely encoder and decoder interactive guidance (EDIG) module, cascading false alarm removal (CFAR) module, and random scale input (RSI) module. Specifically, in the EDIG module, we employ a CA mechanism on encoding and decoding layers to select feature channels with higher contribution. Then, we impose a bottom-up pointwise attention block to highlight the features of small infrared targets and suppress possible noise by incorporating the low-level detailed features into the high-level semantic features. The CFAR module extracts affluent global features by cascading nonlocal operations of different layers, which can remove clutters with similar features to infrared targets. The RSI module is placed in front of the entire detection network to extract multiscale features of infrared small targets, which can enhance the robustness of the proposed network. Experimental results on the SIRST dataset and comprehensive comparisons with representative methods demonstrate the superiority of our proposed method.
DOI	10.1109/jstars.2024.3354244
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收录类别	SCI ; EI
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/181722/68811
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	K. Y. Wang, X. Y. Wu, P. C. Zhou, Z. T. Chen, R. Zhang, L. Y. Yang and Y. S. Li. AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection[J]. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2024,17:4208-4221.
APA	K. Y. Wang, X. Y. Wu, P. C. Zhou, Z. T. Chen, R. Zhang, L. Y. Yang and Y. S. Li.(2024).AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection.Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,17,4208-4221.
MLA	K. Y. Wang, X. Y. Wu, P. C. Zhou, Z. T. Chen, R. Zhang, L. Y. Yang and Y. S. Li."AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection".Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17(2024):4208-4221.

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