New Discrimination Features for SAR Automatic Target Recognition
SCIE
SCOPUS
- Title
- New Discrimination Features for SAR Automatic Target Recognition
- Authors
- Park, JI; Park, SH; Kim, KT
- Date Issued
- 2013-05
- Publisher
- IEEE
- Abstract
- 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.
- Keywords
- Automatic target recognition (ATR); feature selection; synthetic aperture radar (SAR); target discrimination; FEATURE-SELECTION; IMAGES; ALGORITHM
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/14723
- DOI
- 10.1109/LGRS.2012.2210385
- ISSN
- 1545-598X
- Article Type
- Article
- Citation
- IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 3, page. 476 - 480, 2013-05
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.