Efficient Classification of ISAR Images Using 2D Fourier Transform and Polar Mapping
SCIE
SCOPUS
- Title
- Efficient Classification of ISAR Images Using 2D Fourier Transform and Polar Mapping
- Authors
- Sang-Hong Park; Joo-Ho Jung; Si-Ho Kim; Kim, KT
- Date Issued
- 2015-07
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Abstract
- This paper proposes an efficient method to classify inverse synthetic aperture radar (ISAR) images. The proposed method achieves invariance to translation and rotation of ISAR images by using two-dimensional (2D) Fourier transform (FT) of ISAR images, polar mapping of the 2D FT image, and a simple nearest-neighbor classifier. In simulations using ISAR images measured in a compact range, the proposed method yielded high classification ratios with small-sized data regardless of the location of the rotation center, whereas the existing method was very sensitive to the location of it.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/36230
- DOI
- 10.1109/TAES.2015.140184
- ISSN
- 0018-9251
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, vol. 51, no. 3, page. 1726 - 1736, 2015-07
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