|
|
|
| An Algorithm for Airborne SAR Tomography 3D Imaging |
| Wang Jin-feng; Pi Yi-ming; Cao Zong-jie |
| School of Electronic Engineering, University of Electronic Science and Techonogy of China, Chengdu 611731, China |
|
|
|
|
Abstract In the applications of airborne multi-baseline SAR tomography, the baseline is needed to be small while the aperture is required to be large. However, it is difficult to meet the two conditions simultaneously. In this paper, the sparse signal representation is used to solve the SAR tomography with few baselines. Firstly, the targets are modeled as sparse based on the hypothesis of multi-center of scattering. And then, the redundant dictionary is constructed through the geometry of SAR observing system and the frequencies of signal. As a result, the SAR tomography is transformed into the problem of sparse signal representation. The imaging results are obtained by solving the ill-posed problem based on sparse regularization. The relationship between the parameters and the quality of imaging is shown through the processing of the simulated serial signal. Finally, the validity of algorithm is clarified by the results of the three-dimensional SAR tomography.
|
|
Received: 15 May 2009
|
|
|
|
Corresponding Authors:
Wang Jin-feng
|
|
|
|
|
|
|
2010, Vol. 32 
