상세정보
학술지
New Discrimination Features for SAR Automatic Target Recognition
- 저자
- 박종일, Sang-Hong Park, 김경태
- 발행일
- 201305
- 출처
- IEEE Geoscience and Remote Sensing Letters, v.10 no.3, pp.476-480
- ISSN
- 1545-598X
- 출판사
- IEEE
- 협약과제
- 13ZC1200, 그린IT 융.복합 기술개발, 이수인
- 초록
- 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. © 2004-2012 IEEE.
- KSP 제안 키워드
- Automatic target recognition, Data sets, Discriminating features, Discriminative feature, Feature selection(FS), Feature selection algorithm, Feature set, High-resolution, Moving and Stationary Target Acquisition and Recognition, Radar Imagery, Synthetic Aperture Radar