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Journal Article Modified Polar Mapping Classifier for SAR Automatic Target Recognition
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Authors
Jong-Il Park, Kyung-Tae Kim
Issue Date
2014-04
Citation
IEEE Transactions on Aerospace and Electronic Systems, v.50, no.2, pp.1092-1107
ISSN
0018-9251
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TAES.2013.120378
Project Code
13ZC1200, Green IT convergence Technologies Development, Lee Soo In
Abstract
In this study, we propose a modified polar mapping classifier (M-PMC) with an efficient preprocessing scheme to classify synthetic aperture radar (SAR) targets from the public release database for moving and stationary target acquisition and recognition. M-PMC is evaluated under various SAR extended operating conditions (EOCs), which are designed to reflect real-world battlefield scenarios. Experimental outcomes from various EOCs show that M-PMC has good generalization capabilities and outperforms conventional classifiers. © 2014 IEEE.
KSP Keywords
Automatic target recognition, Extended Operating Conditions, Moving and Stationary Target Acquisition and Recognition, Real-world, Synthetic aperture radar (sar)