Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 10, Issue 3, Pages 476-480Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2210385
Keywords
Automatic target recognition (ATR); feature selection; synthetic aperture radar (SAR); target discrimination
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Funding
- Brain Korea Project 21
- IT Consilience Creative Program of the Ministry of Knowledge Economy
- National IT Industry Promotion Agency [C1515-1121-0003]
- Ministry of Public Safety & Security (MPSS), Republic of Korea [C1515-1121-0003] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Council of Science & Technology (NST), Republic of Korea [13ZC1260] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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We propose new features and a redundancy-free feature selection scheme for discriminating targets from clutter in high-resolution synthetic aperture radar imagery. These were found to be very useful for discriminating targets from clutter and well combined with various classical discriminative features. If a feature set with a larger dimension is used, its redundancy may increase. In order to reduce this redundancy, a rank-based feature selection scheme is devised. Our discriminating features and feature selection algorithm are evaluated using the moving and stationary target acquisition and recognition (MSTAR) data set.
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