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10 May 2017 Infrared small target detection method based on decomposition of polarization information
Yan Zhang, Zhiguang Shi, Tiaowen Qiu
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Journal of Electronic Imaging, Vol. 26, Issue 3, 033004 (May 2017). https://doi.org/10.1117/1.JEI.26.3.033004
Abstract
A method of feature extraction and small target detection, based on infrared polarization, which uses the technical superiority of infrared polarization imaging in artificial target detection to solve the clutter interference problem in infrared target detection, is proposed. First, using the differences in the polarization characteristics of the artificial target and the natural background, the infrared polarization information models for the target and background are established. The compositions of intensity information, polarization information, and target polarization information are extracted, and enhancement measures are analyzed. Then, the variable polarization theories are combined to extract the target polarization characteristics and suppress the background clutter. Finally, the infrared small target is detected, and comparisons with existing methods demonstrate the effectiveness and reliability of the proposed method.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Yan Zhang, Zhiguang Shi, and Tiaowen Qiu "Infrared small target detection method based on decomposition of polarization information," Journal of Electronic Imaging 26(3), 033004 (10 May 2017). https://doi.org/10.1117/1.JEI.26.3.033004
Received: 6 December 2016; Accepted: 14 April 2017; Published: 10 May 2017
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Cited by 9 scholarly publications and 1 patent.
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KEYWORDS
Polarization
Infrared radiation
Target detection
Infrared detectors
Infrared imaging
Data modeling
Feature extraction
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