Reconstruction of Dual Channel Satellite-Borne SAR Image With Joint Sparsity Constraints

Abstract

Abstract:

Abstract: In this paper，we consider the problem of SAR image enhancement used dual channel satellite-borne SAR image reconstruction model．Previous work proved the SAR image with sparse characteristic which can be expressed by deterministic sparse prior constraint model based on target scattering center theory and backscattering characteristics．So we inspired by a sparse characteristic from singles airborne SAR image，proposed reconstruction method based on scattering center sparse and strong scattering gradient double channel regularization reconstruction model for dual channel space-borne SAR image．used the elliptic paraboloid model to estimate the degrad matrix，with double down algorithm to solve reconstruction model．The proposed algorithms are applied to Cosmo-SkyMed SAR data，the resulting images are found to improve distance and azimuth resolution compare with single channel data．

Key words: keywords: sparsity constraint, SAR image, regularization, reconstruction

CLC Number:

P237

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http://xb.chinasmp.com/EN/Y2014/V43/I5/521

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