A Weighted Overlapped Block-Based Compressive Sensing in SAR Imaging

作者：You, Hanxu^*; Li, Lianqiang; Zhu, Jie

来源：IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2017, E100D(3): 590-593.

DOI：10.1587/transinf.2016EDL8175

• SAR imaging
• block-based compressive sensing
• weighted overlapped reconstruction
• the block artefacts reduction

The compressive sensing (CS) theory has been widely used in synthetic aperture radar (SAR) imaging for its ability to reconstruct image from an extremely small set of measurements than what is generally considered necessary. Because block-based CS approaches in SAR imaging always cause block boundaries between two adjacent blocks, resulting in namely the block artefacts. In this paper, we propose a weighted overlapped block-based compressive sensing (WOBCS) method to reduce the block artefacts and accomplish SAR imaging. It has two main characteristics: 1) the strategy of sensing small and recovering big and 2) adaptive weighting technique among overlapped blocks. This proposed method is implemented by the well-known CS recovery schemes like orthogonal matching pursuit (OMP) and BCS-SPL. Promising results are demonstrated through several experiments.

• 出版日期2017-3
• 单位上海交通大学