A novel method of constructing measurement matrix for CS-based SAR imaging

Haili Li, Xia Bai*, Juan Zhao, Ran Tao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Compressed sensing (CS) is a recently developed theory which allows reconstruction of sparse signals with a number of measurements much lower than that required by the Nyquist sampling. The theory has been applied in many areas within synthetic aperture radar (SAR). This paper presents a novel method of constructing measurement matrix for CS-based SAR imaging, which enables the sensing matrix to meet RIP with high probability. Simulated results demonstrate the effectiveness of the proposed method, which can obtain a high quality radar image with fewer data samples, and the advantage of the proposed method is more obvious especially at high noise levels.

源语言英语
主期刊名2012 5th International Congress on Image and Signal Processing, CISP 2012
1754-1758
页数5
DOI
出版状态已出版 - 2012
活动2012 5th International Congress on Image and Signal Processing, CISP 2012 - Chongqing, 中国
期限: 16 10月 201218 10月 2012

出版系列

姓名2012 5th International Congress on Image and Signal Processing, CISP 2012

会议

会议2012 5th International Congress on Image and Signal Processing, CISP 2012
国家/地区中国
Chongqing
时期16/10/1218/10/12

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引用此

Li, H., Bai, X., Zhao, J., & Tao, R. (2012). A novel method of constructing measurement matrix for CS-based SAR imaging. 在 2012 5th International Congress on Image and Signal Processing, CISP 2012 (页码 1754-1758). 文章 6469842 (2012 5th International Congress on Image and Signal Processing, CISP 2012). https://doi.org/10.1109/CISP.2012.6469842