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Infrared small-target detection using multiscale gray difference weighted image entropy

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成果类型:
期刊论文
作者:
Deng, He;Sun, Xianping;Liu, Maili;Ye, Chaohui;Zhou, Xin*
通讯作者:
Zhou, Xin
作者机构:
[Deng, He; Ye, Chaohui; Liu, Maili; Zhou, Xin; Sun, Xianping] Chinese Acad Sci, Wuhan Inst Phys & Math, Natl Ctr Magnet Resonance Wuhan, State Key Lab Magnet Resonance & Atom & Mol Phys, 30 West Xiaohongshan, Wuhan 430071, Peoples R China.
[Deng, He] Cent China Normal Univ, Dept Informat Technol, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
通讯机构:
[Zhou, Xin] C
Chinese Acad Sci, Wuhan Inst Phys & Math, Natl Ctr Magnet Resonance Wuhan, State Key Lab Magnet Resonance & Atom & Mol Phys, 30 West Xiaohongshan, Wuhan 430071, Peoples R China.
语种:
英文
期刊:
IEEE Transactions on Aerospace and Electronic Systems
ISSN:
0018-9251
年:
2016
卷:
52
期:
1
页码:
60-72
基金类别:
Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81227902, 61471355]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2014M560636, 2015T80856]
机构署名:
本校为其他机构
院系归属:
教育信息技术学院
摘要:
We propose an effective small-target detection approach based on weighted image entropy. The approach weights the local entropy measure by the multiscale grayscale difference followed by an adaptive threshold operation, which aims to improve the signal-to-noise ratio for cases in which jamming objects in the scene have similar thermal intensity measure with respect to the background as small target. The detection capability of the proposed approach has been validated on six real sequences, a...

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