Entropy-based window selection for detecting dim and small infrared targets

CORC > 武汉物理与数学研究所 > 中国科学院武汉物理与数学研究所 > 磁共振基础研究部

	Entropy-based window selection for detecting dim and small infrared targets
	Deng, He; Sun, Xianping; Liu, Maili; Ye, Chaohui; Zhou, Xin
刊名	PATTERN RECOGNITION
	2017
卷号	61 页码:66-77
关键词	Dim and small target detection Infrared image Local difference measure Window selection
英文摘要	Dim and small target detection in complex background is considered a difficult and challenging problem. Conventional algorithms using the local difference/mutation possibly produce high missed or mistaken detection rates. In this paper, we propose an effective algorithm for detecting dim and small infrared targets. In order to synchronously enhance targets and suppress complex background clutters, we adopt an adaptive entropy-based window selection technique to construct a novel local difference measure (LDM) map of an input image, which measures the dissimilarity between the current region and its neighboring ones. In this way, the window size can be adaptively regulated according to local statistical properties. Compared with the original image, the LDM map has less background clutters and noise residual. This guarantees the lower false alarm rates under the same probability of detection. Subsequently, a simple threshold is used to segment the target. More than 600 dim and small infrared target images against different complex and noisy backgrounds were utilized to validate the detection performance of the proposed approach. Extensive experimental results demonstrate that the proposed method not only works more stably for different target movements and signal-to-clutter ratio values, but also has a better performance compared with classical baseline methods. The evaluation results suggest that the proposed method is simple and effective with regard to detection accuracy. (C) 2016 Elsevier Ltd. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	MOVING TARGETS ; CLUTTER ; IMAGE ; SCENE ; EMD
收录类别	SCI
语种	英语
WOS记录号	WOS:000385899400005
内容类型	期刊论文
源URL	[http://ir.wipm.ac.cn/handle/112942/9604]
专题	武汉物理与数学研究所_磁共振基础研究部
作者单位	Chinese Acad Sci, State Key Lab Magnet Resonance & Atom & Mol Phys, Natl Ctr Magnet Resonance Wuhan, Wuhan Inst Phys & Math, Wuhan 430071, Peoples R China
推荐引用方式 GB/T 7714	Deng, He,Sun, Xianping,Liu, Maili,et al. Entropy-based window selection for detecting dim and small infrared targets[J]. PATTERN RECOGNITION,2017,61:66-77.
APA	Deng, He,Sun, Xianping,Liu, Maili,Ye, Chaohui,&Zhou, Xin.(2017).Entropy-based window selection for detecting dim and small infrared targets.PATTERN RECOGNITION,61,66-77.
MLA	Deng, He,et al."Entropy-based window selection for detecting dim and small infrared targets".PATTERN RECOGNITION 61(2017):66-77.