Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition

In this paper, we propose a novel imaging method for synthetic aperture radar (SAR) systems with compressive sensing (CS) by modifying the existing low-rank and sparse decomposition (LRSD) scheme. The proposed CS-based modified LRSD (CS-MLRSD) method uses 2D random sampling for SAR raw data compress...

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Bibliographic Details
Main Authors: Jeong-Il Byeon, Wookyung Lee, Jihoon Choi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10818467/
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