Differential SAR Tomography Imaging Based on Khatri-Rao Subspace and Block Compressive Sensing
WANG Aichun①②③ XIANG Maosheng① WANG Bingnan①
①(National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(University of Chinese Academy of Sciences, Beijing 100049, China) ③(China Center for Resources Satellite Data and Application, Beijing 100094, China)
While the use of differential SAR tomography based on Compressive Sensing (CS) makes it possible to reconstruct the four-dimensional information of an observed scene, the performance of the reconstruction decreases for a sparse and structural observed scene due to ignoring the structural characteristics of the observed scene. To deal with this issue, a method using differential SAR tomography based on Khatri-Rao Subspace and Block Compressive Sensing (KRS-BCS) is proposed. Using the structure information of the observed scene and Khatri-Rao product property of the reconstructed observation matrix, the proposed method changes the reconstruction of the sparse and structural observed scene into a BCS problem under Khatri-Rao Subspace, and then the KRS-BCS problem is efficiently solved with a block sparse l1/l2 norm optimization signal model. Compared with existing CS methods, the proposed KRS-BCS method not only maintains the high resolution characteristics of CS methods, but also has higher reconstruction accuracy and better performance. Simulations, ENVISAT-ASAR data and ground-based GPS data verify the effectiveness of the proposed method.
王爱春,向茂生,汪丙南. 一种联合Khatri-Rao子空间与块稀疏压缩感知的差分SAR层析成像方法[J]. 电子与信息学报, 2017, 39(1): 95-102.
WANG Aichun, XIANG Maosheng, WANG Bingnan. Differential SAR Tomography Imaging Based on Khatri-Rao Subspace and Block Compressive Sensing. JEIT, 2017, 39(1): 95-102.
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