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

Volume

7

Issue

4

fYear

2010

Firstpage

713

Lastpage

717

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);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2010.2046877

Filename

5462847