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 |
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主期刊名 | 2012 5th International Congress on Image and Signal Processing, CISP 2012 |
页 | 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 2012 → 18 10月 2012 |
出版系列
姓名 | 2012 5th International Congress on Image and Signal Processing, CISP 2012 |
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会议
会议 | 2012 5th International Congress on Image and Signal Processing, CISP 2012 |
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国家/地区 | 中国 |
市 | Chongqing |
时期 | 16/10/12 → 18/10/12 |
指纹
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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