Title :
Noniterative Super-Resolution Technique Combining SVA With Modified Geometric Mean Filter
Author :
Lim, Byoung-Gyun ; Woo, Jae-Choon ; Kim, Young-Soo
Author_Institution :
Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
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 40% compared to SVA and phase-extension inverse filtering.
Keywords :
filtering theory; radar imaging; synthetic aperture radar; SAR; geometric mean filter; iterative calculation; noniterative super-resolution technique; phase-extension inverse filtering; spatially variant apodization; synthetic aperture radar images; Bandwidth; Chirp; Filtering; Image resolution; Iterative algorithms; Matched filters; Pulse compression methods; Signal resolution; Spatial resolution; Synthetic aperture radar; Geometric mean filter (GMF); spatially variant apodization (SVA); super-resolution; synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2046877
