Efficient classification of ISAR images
SCIE
SCOPUS
- Title
- Efficient classification of ISAR images
- Authors
- Kim, KT; Seo, DK; Kim, HT
- Date Issued
- 2005-05
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGI
- Abstract
- In this paper, we propose a method to classify inverse synthetic aperture radar images from different targets. Our approach can provide efficient features for classification by the combined use of a polar mapping procedure and a well-designed classifier. The resulting feature vectors are able to meet the requirements that efficient features should have: invariance with respect to rotation and scale, small dimensionality, as well as highly discriminative information. Typical experimental examples of the proposed method are provided and discussed.
- Keywords
- inverse synthetic aperture radar (ISAR); radar cross section; radar imaging; radar signal processing; radar target recongntion; INVARIANT TEXTURE CLASSIFICATION; SEGMENTATION; ROTATION
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24610
- DOI
- 10.1109/TAP.2005.846
- ISSN
- 0018-926X
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol. 53, no. 5, page. 1611 - 1621, 2005-05
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