BLOCKED SPECTRUM COMPRESSIVE SENSING BASED ON ROOT-MUSIC ALGORITHM FOR SAR IMAGE

被引：2
|
作者：
Li, Xiaobo [1 ]
Chen, Jie [1 ]
Zhu, Yanqing [1 ]
机构：
[1] Beihang Univ, Sch Elect Informat Engn, Beijing, Peoples R China
来源：
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年
关键词：
SAR image; compressive sensing; block; root-music algorithm; signal reconstruction;
D O I：
10.1109/IGARSS.2012.6350959
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In order to effectively reduce the storage volume of complex image data in high-resolution synthetic aperture radar (SAR), blocked spectrum compressive framework [1][2] based on Root-MUSIC algorithm is proposed. In this paper block-wise processing [3] of SAR image method is introduced, which can effectively reduce the storage space of measurement matrix. Gaussian random matrix is employed as observation matrix [4][5] to obtain observed value of each sub-block. Model parameters can be calculated by means of Root-MUSIC algorithm. Spectrum signal is reconstructed from small amount of measurements. Simulation results with real spatial-sparse SAR image demonstrate that data storage capacity can be reduced to as low as 1.17%, which validate the effectiveness of the method.
引用
收藏
页码：2094 / 2096
页数：3
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