ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Modified Polar Mapping Classifier for SAR Automatic Target Recognition
Cited 54 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
박종일, 김경태
발행일
201404
출처
IEEE Transactions on Aerospace and Electronic Systems, v.50 no.2, pp.1092-1107
ISSN
0018-9251
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TAES.2013.120378
협약과제
13ZC1200, 그린IT 융.복합 기술개발, 이수인
초록
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 제안 키워드
Automatic target recognition, Extended Operating Conditions, Moving and Stationary Target Acquisition and Recognition, Real-world, Synthetic aperture radar (sar)