联合稀疏约束的双通道星载SAR图像重建

摘要/Abstract

摘要：

摘要：针对提高星载SAR图像质量的问题，研究双通道星载SAR图像重建模型。由目标散射中心理论和后向散射特性分析，得出SAR图像具有稀疏特性，并且能够用确定性稀疏先验约束表达。将稀疏特性先验从单幅机载SAR图像处理问题中推广引入到两幅星载SAR图像重建问题中，提出基于散射中心稀疏和强散射梯度的双通道正则化重建模型，并采用椭圆抛物面模型估计重建中的降质矩阵，用双下降求解方法求解重建模型。并用Cosmo-SkyMed数据进行了实验验证。实验表明，该重建模型能够提高SAR图像的距离向和方位向分辨率，改善图像质量，提高解译能力。

关键词: 关键词：稀疏约束, SAR图像, 正则化, 重建

Abstract:

Abstract: In this paper，we consider the problem of SAR image enhancement used dual channel satellite-borne SAR image reconstruction model．Previous work proved the SAR image with sparse characteristic which can be expressed by deterministic sparse prior constraint model based on target scattering center theory and backscattering characteristics．So we inspired by a sparse characteristic from singles airborne SAR image，proposed reconstruction method based on scattering center sparse and strong scattering gradient double channel regularization reconstruction model for dual channel space-borne SAR image．used the elliptic paraboloid model to estimate the degrad matrix，with double down algorithm to solve reconstruction model．The proposed algorithms are applied to Cosmo-SkyMed SAR data，the resulting images are found to improve distance and azimuth resolution compare with single channel data．

Key words: keywords: sparsity constraint, SAR image, regularization, reconstruction

中图分类号:

P237

卜丽静张过. 联合稀疏约束的双通道星载SAR图像重建[J]. 测绘学报, 2014, 43(5): 521-528.

参考文献

[1]SHEN Huanfeng，LI Pingxiang，ZHANG Liangpei，et al.Overview on Super Resolution Image Reconstruction[J].Optical Technique,2009,35(2):194-199
[2]PRATI C，ROCCA E.Improving Slant-Range Resolution With Multiple SAR Surveys[J].IEEE Trans on Geosci Remote Sens,1993,29(1):135-143
[3]FOMARO G，PASCAZIO V，SCHIRINZI G．.Resolution Improvement Via Multipass SAR Imaging[C][J].Geoscience and Remote Sensing Symposium．Sydney：,2001,6:2734-2736
[4].Geoscience and Remote Sensing Symposium．Sydney：2001（6）：2734-2736
[5]ZHOU Hongchao，WANG Zhengming.Unified Frame Based On Sparse Prior For Optical And SAR Image Resolution Enhancement[J].Chinese Journal Of Quantum Electronics,2006,23(2):135-140
[6]BU Lijing，WU Wenbo，ZHANG Guo．卜丽静，武文波，张过．.Super-resolution Reconstruction of Spaceborne Sar Images Using Sparsity Theory[D]．基于稀疏理论的星载雷达图像超分辨率重建[D]．[J].Fuxin：Liaoning Technical University，阜新：辽宁工程技术大学,2011,:61-66
[7]ERTIN E，AUSTIN C D，SHARMA S.MOSES R L[J].et al．GOTCHA experience report：Three-Dimensional SAR Imaging With Complete Circular Apertures[C]//SPIE Algorithms Synthetic Aperture Radar Imagery XIV,6568,Orlando:2007-
[8].AUSTIN C D，MOSES R L，Wide-Angle Sparse 3D Synthetic Aperture Radar Imaging For Nonlinear Flight Paths[C]//Aerospace and Electronics Conference：Dayton，IEEE，2008：330–336
[9].?ETIN M，KARL W C，Feature-Enhanced Synthetic Aperture Radar Image Formation based on Non-Quadratic Regularization[J]．IEEE Trans，Image Processing，2001，（10）：623-631
[10].WANG Cheng，WANG Rengsheng．Research on SAR Image Despeckling and Optical Image Sequences Superresolution[D]．Changsha，National University of Defense technology，2002．（王程，王润生．SAR图像相干斑噪声抑制和光学图像序列超分辨技术研究[D]．长沙：国防科技大学，2002．
[11]YANG Shenbin，LI Bingbai，SHEN Shuanghe，et al.Structure Retaining Linear Multi-channel SAR Image Speckle Filter[J].Acta Geodaetica et Cartographica Sinica,2006,35(4):364-370
[12] DUARTE M，WAKIN M，BARANIUK R．Wavelet-domain compressive signal reconstruction using a hidden Markov tree model[C]//Acoust.，Speech Signal Process．LasVegas：IEEE，2008：5137-5140
[13].FORNASIER M，RAUHUT H，Recovery Algorithms for Vector-Valued Data With Joint Sparsity Constraints[J]．SIAM Journal on Numerical Analysis，2008，46（2）：577-613
[14].POTTER L C，ERTIN E，PARKER J T，et al．Sparsity and Compressed Sensing in Radar Imaging[J]．Procee
[15].dings of the IEEE，2010，98（6）：1006-1020
[16].?etin M．Feature enhanced synthetic aperture radar imaging[D]．Boston：University of Boston，2001
[17].WANG Guangxin．Research on Image Resolution-Enhancement Based on Regularization Models with Sparsity Constraints[D]．Changsha，National University of Defense technology，2008：33-41．（王光新．基于稀疏约束正则化模型的图像提高分辨率技术研究[D]．长沙：国防科学技术大学，2008：33-41．
[18]WANG Guangxin，LIN Youpeng，ZHANG Baosong.Sparsity of SAR Image with Application to Feature Enhancement[J].Computer Science,2011,(2):267-270
[19].RAMAKRISHNAN N．Joint Enhancement Of Multichannel Synthetic Aperture Radar Data[D]．Columbus：Graduate School of The Ohio State University．2008
[20].WANG ZHengming，ZHU Jubo ，et al．SAR Images to Improve Resolution Technology[M]．Beijing：Science Press，2006：23-24．（王正明，朱炬波等著．SAR图像提高分辨率技术[M]．北京：科学出版社，2006：23．
[21].BU Lijing，ZHANG Guo，LIN Yinshen，et al．PSF Estimation in SAR Imagery Restoration Based on Corner Reflectors[C]//Progress in Informatics and Computing (PIC)．Shanghai：IEEE，2010：804-808
[22].RAMAKRISHNAN N，ERTIN E，MOSES R L．Enhancement of Coupled Multichannel Images Using Sparsity Constraints-[J]．IEEE transactions on image processing．2010，19（8）：2115-2126
[23]YUAN Xiaokang．袁孝康．.Spaceborne Synthetic Aperture Radar Introduction[M]．Beijing：National Defence Industry Press，星载合成孔径雷达导论[M]．北京：国防工业出版社，2003．）[J].,2003．,:-