Parametric Sparse Representation Based Technique For 2-D SAR Autofocusing

Aiming at the azimuth defocusing problem of SAR image caused by the unstable velocity of the platform, an autofocusing method based on parametric orthogonal matching pursuit (P-OMP) algorithm is proposed in this paper. Firstly, the SAR echo data is processed by range dimension pulse compression and migration correction. Then the range-cell of the strong scattering point is selected according to the energy distribution. Based on P-OMP algorithm, the optimal focusing factor is estimated from the selected range-cell data. With the estimated focusing factor, a well-focused image can be obtained. Experimental results shown the effectiveness of the proposed method.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868755
Primary Topic
Image Processing Techniques and Applications
Type
article
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Parametric Sparse Representation Based Technique For 2-D SAR Autofocusing

Hao Fu, Le Zhou, Hangchuan Jia, Yi‐Chang Chen et al.
Image Processing Techniques and Applications
article

Parametric Sparse Representation Based Technique For 2-D SAR Autofocusing

Hao Fu, Le Zhou, Hangchuan Jia, Yi‐Chang Chen, Yuanpeng Zhang, Yongjian Sun
article en

Abstract

Aiming at the azimuth defocusing problem of SAR image caused by the unstable velocity of the platform, an autofocusing method based on parametric orthogonal matching pursuit (P-OMP) algorithm is proposed in this paper. Firstly, the SAR echo data is processed by range dimension pulse compression and migration correction. Then the range-cell of the strong scattering point is selected according to the energy distribution. Based on P-OMP algorithm, the optimal focusing factor is estimated from the selected range-cell data. With the estimated focusing factor, a well-focused image can be obtained. Experimental results shown the effectiveness of the proposed method.

Openalex Percentile: Top 61%
Image Processing Techniques and Applications
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