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Volume 32 Issue 5
May  2010
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Wang Jin-feng, Pi Yi-ming, Cao Zong-jie. An Algorithm for Airborne SAR Tomography 3D Imaging[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1029-1033. doi: 10.3724/SP.J.1146.2009.00737
Citation: Wang Jin-feng, Pi Yi-ming, Cao Zong-jie. An Algorithm for Airborne SAR Tomography 3D Imaging[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1029-1033. doi: 10.3724/SP.J.1146.2009.00737

An Algorithm for Airborne SAR Tomography 3D Imaging

doi: 10.3724/SP.J.1146.2009.00737
  • Received Date: 2009-05-15
  • Rev Recd Date: 2009-10-08
  • Publish Date: 2010-05-19
  • 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.
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  • Reigber A and Moreira A. First demonstration of airborne SAR tomography using multibaseline L-Band data[J].IEEE Transactions on Geoscience and Remote Sensing.2000, 38(5):2142-2152[2]Fornaro G and Serafino F. Three-dimensional focusing with mulitpass SAR data[J].IEEE Transactions on Geoscience and Remote Sensing.2003, 41(3):507-517[3]Homer J and Longstaff I D. High resolution 3-D imaging via multi-pass SAR[J].IEE Proceedings, -F: Radar, Sonar, Navigation.2002, 149(1):45-50[4]She Z and Gray D A. Three-dimensional SAR imaging via multiple pass processing[C][J].Geo-science and Remote Sensing Symposium, IGARSS 99 Proceedings, Hamburg, Germany.1999, 5:2389-2391[5]杜小勇等. 基于稀疏成份分析的几何绕射模型参数估计[J].电子与信息学报.2006, 28(2):362-366浏览Du Xiao-yong, et al.. Parameter estimation of GTD model based on sparse component analysis[J].Journal of Electronics Information Technology.2006, 28(2):362-366[6]Yong M and Konishi Y. Sparse Bayesian regression for head pose estimation[C]. 18th International Conference on Pattern Recognition, Hong Kong, Aug., 2006, 3: 507-510.[7]Esther K Y and Van M. Sparse registration for three- dimensional stress echocardiography[J].IEEE Transactions on Medical Imaging.2008, 27(11):1568-1579[8]Huang J and Huang X. Simultaneous image transformation and sparse representation recovery[C]. IEEE Conference on Computer Vision and Pattern Recognition, Alaska, USA, June, 2008: 1-8.[9]Vaeshney K R and Cetin M. Sparse representation in structured dictionaries with application to synthetic aperture radar[J].IEEE Transactions on Signal Processing.2008, 56(8):3548-3561[10]Potter L C and Schniter P. Sparse reconstruction for radar[C]. Proceedings of SPIE, Orlando, FL, USA, 2008: 6970-6973.[11]Xu P, et al.. Lp norm iterative sparse solution for EEG source localization[J].IEEE Transaction on Biomedical Engineering.2007, 54(3):400-409[12]Joel A T. Greed is good: Algorithmic results for sparse approximation[J].IEEE Transactions on Information Theory.2004, 50(10):2231-2242[13]Donoho D L. Stable recovery of sparse overcomplete representations in the presence of noise[J].IEEE Transactions on Information Theory.2006, 52(1):6-18[14]皮亦鸣, 等. 合成孔径雷达成像原理[M]. 成都: 电子科技大学出版社, 2007: 60-65.[15]Pi Y, et al.. The Imaging Principle of Synthesis Aperture Radar [M]. Chengdu: University of Electronic Science and Technology Press, 2007: 60-65.
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