Noniterative Super-Resolution Technique Combining SVA With Modified Geometric Mean Filter
| Autor: | Young-Soo Kim, Byoung-Gyun Lim, Jae-Choon Woo |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Synthetic aperture radar
business.industry Computer science Bandwidth (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Astrophysics::Instrumentation and Methods for Astrophysics Filter (signal processing) Geotechnical Engineering and Engineering Geology Superresolution Signal-to-noise ratio Apodization Radar imaging Chirp Computer vision Artificial intelligence Electrical and Electronic Engineering business Image resolution |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters. 7:713-717 |
| ISSN: | 1558-0571 1545-598X |
| DOI: | 10.1109/lgrs.2010.2046877 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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