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A local contrast method for small infrared target detection
C. L. Philip Chen1; Hong Li2; Yantao Wei3,4; Tian Xia1; Yuan Yan Tang1
2014-01
Source PublicationIEEE Transactions on Geoscience and Remote Sensing
ISSN0196-2892
Volume52Issue:1Pages:574
Abstract

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Consequently, an effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented in this paper. At the first stage, the local contrast map of the input image is obtained using the proposed local contrast measure which measures the dissimilarity between the current location and its neighborhoods. In this way, target signal enhancement and background clutter suppression are achieved simultaneously. At the second stage, an adaptive threshold is adopted to segment the target. The experiments on two sequences have validated the detection capability of the proposed target detection method. Experimental evaluation results show that our method is simple and effective with respect to detection accuracy. In particular, the proposed method can improve the SNR of the image significantly. 

KeywordDerived Kernel (Dk) Infrared (Ir) Image Local Contrast Signal-to-noise Ratio (Snr) Target Detection
DOIhttps://doi.org/10.1109/TGRS.2013.2242477
URLView the original
Indexed BySCI
Language英语
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000328939500016
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
The Source to ArticleScopus
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Citation statistics
Cited Times [WOS]:178   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorC. L. Philip Chen; Hong Li; Yantao Wei; Tian Xia; Yuan Yan Tang
Affiliation1.Faculty of Science and Technology, University of Macau, Macau, China
2.School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
3.College of Information Technology, Journalism and Communications, Central China Normal University, Wuhan 430079, China
4.Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
C. L. Philip Chen,Hong Li,Yantao Wei,et al. A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing,2014,52(1):574.
APA C. L. Philip Chen,Hong Li,Yantao Wei,Tian Xia,&Yuan Yan Tang.(2014).A local contrast method for small infrared target detection.IEEE Transactions on Geoscience and Remote Sensing,52(1),574.
MLA C. L. Philip Chen,et al."A local contrast method for small infrared target detection".IEEE Transactions on Geoscience and Remote Sensing 52.1(2014):574.
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