Improved Classification Performance Using ISAR Images and Trace Transform
SCIE
SCOPUS
- Title
- Improved Classification Performance Using ISAR Images and Trace Transform
- Authors
- Seung, Jae-Lee; Park, S.-H.; Kim, K.-T.
- Date Issued
- 2017-04
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Abstract
- This paper proposes a new scheme for improving the classification performance of inverse synthetic aperture radar (ISAR) images. The proposed scheme utilizes the trace transform to gather abundant information from an ISAR image, regardless of the spatial distribution of the target response in the ISAR image. In simulations using ISAR images with various spatial distributions, the proposed scheme substantially improved the classification performance compared with existing methods, which are highly vulnerable to spatial variation. ? 2017 IEEE.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/50836
- DOI
- 10.1109/TAES.2017.2667284
- ISSN
- 0018-9251
- Article Type
- Article
- Citation
- IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 2, page. 950 - 965, 2017-04
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- There are no files associated with this item.
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