Entropy-based window selection for detecting dim and small infrared targets
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- 作者：He Deng denghe@wipm.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Xianping Sun xpsun@wipm.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Maili Liu ml.liu@wipm.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Chaohui Ye ye@wipm.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Xin Zhou ; xinzhou@wipm.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Dim and small target detection ; Infrared image ; Local difference measure ; Window selection
- 刊名：Pattern Recognition
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：61
- 期：Complete
- 页码：66-77
- 全文大小：3856 K
文摘
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We present an adaptive entropy-based window selection scheme.
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The novel local difference measure map can keep low false alarm rates under the same probability of detection.
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The proposed method is simple and effective with regard to detection accuracy.