Abstract：Compressive sensing SAR imaging can significantly reduce the sampling rate and the amount of data,but it is essential only in the case where the reflection coefficients of SAR scene are sparse. This paper proposed a compressive sensing SAR imaging method based on wavelet packet sparse representation. The wavelet packet algorithm is used to choose the most sparse representation of the SAR scene by training the same type of SAR images. By solving for the minimum 1 l norm optimization, the SAR scene reflection coefficients can be reconstructed. Unambiguous SAR image can be produced with the proposed method even with fewer samples. SAR data simulation experiments demonstrate the efficiency of the proposed method.
时燕, 陈迪荣. 基于小波包算法的压缩传感SAR 成像方法[J]. 雷达学报, 2013, 2(2): 218-225.
Shi Yan, Chen Di-rong. A Compressive Sensing SAR Imaging Approach Based on Wavelet Package Algorithm. JOURNAL OF RADARS, 2013, 2(2): 218-225.
