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New Discrimination Features for SAR Automatic Target Recognition
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- Authors
- Jong-Il Park, Sang-Hong Park, Kyung-Tae Kim
- Issue Date
- 2013-05
- Citation
- IEEE Geoscience and Remote Sensing Letters, v.10, no.3, pp.476-480
- ISSN
- 1545-598X
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- 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. © 2004-2012 IEEE.
- KSP Keywords
- 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