Noniterative Super-Resolution Technique Combining SVA With Modified Geometric Mean Filter
SCIE
SCOPUS
- Title
- Noniterative Super-Resolution Technique Combining SVA With Modified Geometric Mean Filter
- Authors
- Lim, BG; Woo, JC; Kim, YS
- Date Issued
- 2010-10
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Abstract
- We propose a super-resolution algorithm that combines spatially variant apodization (SVA) with a modified geometric mean filter to improve the resolution of synthetic aperture radar (SAR) images and reduce sidelobes simultaneously. This method does not require iterative calculation. The efficacy of the proposed algorithm is verified by simulation with point targets and in experiments with a real SAR image. The proposed method improved resolution by similar to 40% compared to SVA and phase-extension inverse filtering.
- Keywords
- Geometric mean filter (GMF); spatially variant apodization (SVA); super-resolution; synthetic aperture radar (SAR); SAR; ALGORITHM
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/25605
- DOI
- 10.1109/LGRS.2010.2046877
- ISSN
- 1545-598X
- Article Type
- Article
- Citation
- IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, vol. 7, no. 4, page. 713 - 717, 2010-10
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