Makale detayı · 2011
A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction
Dergi
IEEE Transactions on Image Processing- Yıl
- 2011
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS dergi adı IEEE Transactions on Image Processing
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
Image formation algorithms in a variety of applications have explicit or implicit dependence on a mathematical model of the observation process. Inaccuracies in the observation model may cause various degradations and artifacts in the reconstructed images. The application of interest in this paper is synthetic aperture radar (SAR) imaging, which particularly suffers from motion-induced model errors. These types of errors result in phase errors in SAR data, which cause defocusing of the reconstructed images. Particularly focusing on imaging of fields that admit a sparse representation, we propose a sparsity-driven method for joint SAR imaging and phase error correction. Phase error correction is performed during the image formation process. The problem is set up as an optimization problem in a nonquadratic regularization-based framework. The method involves an iterative algorithm, where each iteration of which consists of consecutive steps of image formation and model error correction. Experimental results show the effectiveness of the approach for various types of phase errors, as well as the improvements that it provides over existing techniques for model error compensation in SAR.
Konular
Atıflar
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207 atıf
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Yerel katalogda bu makaleye atıf yapan 8 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- Sparsity Driven Synthetic Aperture Radar Imaging Reconstruction autofocusing moving targets and compressed sensing 2014
- Autofocused Spotlight SAR Image Reconstruction of Off-Grid Sparse Scenes 2017
- SAR image reconstruction by expectation maximization based matching pursuit 2014
- Joint sparsity-driven inversion and model error correction for radar imaging 2010
- SAR moving object imaging using sparsity imposing priors 2017
- Analysis of sparsity based joint SAR image reconstruction and autofocus techniques 2015
- SAR image reconstruction with joint off-grid target and phase error corrections 2015
- Optimization and Learning‐Based Methods for Radar Imaging with Sparse and Limited Apertures 2023