本文针对多基线极化干涉SAR数据,提出了面向多基线干涉SAR高程反演的全局最优相干方法。该方法将多景全极化干涉影像联合在一起,构建多基线极化相干矩阵,由多基线最优相干准则指导,求解全局条件下的最优干涉图。该方法可以有效降低多基线干涉中散射中心不一致对干涉相位影响,从而提高干涉相位的精度和可靠性,并提高最终获取DEM的精度。利用国产X-SAR系统和德国E-SAR系统获取的多基线全极化数据进行全局最优相干方法试验,利用多基线极化最优相干方法生成全局条件下的最优干涉图,依据多基线高程反演方法计算目标高程,验证了本文提出的方法的有效性。
[1] WU Yirong, HONG Wen, WANG Yanping. The Current Status and Implications of Polarimetric SAR Interferometry[J]. Journal of Electronics & Information Technology, 2007, 29(5):1258-1263.(吴一戎, 洪文, 王彦平. 极化干涉SAR的研究现状与启示[J]. 电子与信息学报, 2007, 29(5):1258-1263.)
[2] SHI Lei. Vegetation Height and Underlying Ground Altitude Estimation Based on Multi-baseline PolInSAR Images[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(3):330-330.(史磊. 多基线PolInSAR植被高度与植被下地形估计[J]. 测绘学报, 2014, 43(3):330-330.)
[3] ZHU Jianjun, XIE Qinghua, ZUO Tingying, et al. Criterion of Complex Least Squares Adjustment and Its Application in Tree Height Inversion with PolInSAR Data[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(1):45-51.(朱建军, 解清华, 左廷英, 等. 复数域最小二乘平差及其在PolInSAR植被高反演中的应用[J]. 测绘学报, 2014, 43(1):45-51.)
[4] FU Haiqiang, ZHU Jianjun, WANG Changcheng, et al. Polarimetric SAR Interferometry Vegetation Height Inversion Method of Complex Least Squares Adjustment[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(10):1061-1067.(付海强, 朱建军, 汪长城, 等. 极化干涉SAR植被高反演复数最小二乘平差法[J]. 测绘学报, 2014, 43(10):1061-1067.)
[5] CLOUDE S R, PAPATHANASSIOU K P. Polarimetric SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(5):1551-1565.
[6] COLIN E, TITIN-SCHNAIDER C, TABBARA W. An Interferometric Coherence Optimization Method in Radar Polarimetry for High-resolution Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(1):167-175.
[7] HE Chu, SHI Bo, JIANG Houjun, et al. A Combined Multi-polarimetric InSAR Phase Unwrapping Algorithm Based on Conditional Random Fields[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(6):838-845.(何楚, 石博, 蒋厚军, 等. 条件随机场的多极化InSAR联合相位解缠算法[J]. 测绘学报, 2013, 42(6):838-845.)
[8] REIGBER A, NEUMANN M, ERTEN E, et al. Multi-baseline Polarimetrically Optimised Phases and Scattering Mechanisms for InSAR Applications[C]//IEEE International Geoscience and Remote Sensing Symposium. Barcelona:IEEE, 2007:2620-2623.
[9] NEUMANN M, FERRO-FAMIL L, REIGBER A. Multibaseline PolInSAR Coherence Modelling and Optimization[C]//Proceeding of the IEEE International Geoscience and Remote Sensing Symposium. Barcelona:IEEE, 2007:2624-2627.
[10] NEUMANN M, FERRO-FAMIL L, REIGBER A. Multibaseline Polarimetric SAR Interferometry Coherence Optimization[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(1):93-97.
[11] ALIPOUR S, TIAMPO K F, SAMSONOV S, et al. Multibaseline PolInSAR Using RADARSAT-2 Quad-pol Data:Improvements in Interferometric Phase Analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6):1280-1284.
[12] IGLESIAS R, MONELLS D, FABREGAS X, et al. Phase Quality Optimization in Polarimetric Differential SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5):2875-2888.
[13] NAVARRO-SANCHEZ V D, LOPEZ-SANCHEZ J M, FERRO-FAMIL L. Polarimetric Approaches for Persistent Scatterers Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(3):1667-1676.
[14] LU Lijun,ZHANG Jixian,HUA Fenfen,et al. Multi-mode PolInSAR Experiments Using Airborne X-band SAR System in China[J]. International Journal of Remote Sensing, 2014, 35(5):1625-1639.
[15] LOMBARDINI F. Absolute Phase Retrieval in a Three-element Synthetic Aperture Radar Interferometer[C]//Proceedings of the CIE International Conference of Radar. Beijing:IEEE, 1996:309-312.
[16] ZHANG Qiuling, WANG Yanfei. Improving the Interferometric Phase Accuracy of Distributed Satellites InSAR System with Multibaseline Data Fusion[J]. Journal of Electronics & Information Technology, 2006, 28(11):2011-2014.(张秋玲, 王岩飞. 利用多基线数据融合提高分布式卫星InSAR系统的干涉相位精度[J]. 电子与信息学报, 2006, 28(11):2011-2014.)
[17] YUAN Zhihui, DENG Yunkai, LI Fei, et al. Multichannel InSAR DEM Reconstruction through Improved Closed-form Robust Chinese Remainder Theorem[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6):1314-1318.
[18] LI Zhenfang, BAO Zheng, LI Hai, et al. Image Autocoregistration and InSAR Interferogram Estimation Using Joint Subspace Projection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(2):288-297.
[19] PASCAZIO V, SCHIRINZI G. Estimation of Terrain Elevation by Multifrequency Interferometric Wide Band SAR Data[J]. IEEE Signal Processing Letters, 2001, 8(1):7-9.
[20] FERRAIUOLO G, PASCAZIO V. A Bayesian Approach Based on Modified Markov Random Fields for Microwave Tomography[C]//Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. Toronto, Ontario:IEEE, 2002, 6:3393-3395.
[21] FERRAIUOLO G, PASCAZIO V, SCHIRINZI G. Maximum a Posteriori Estimation of Height Profiles in InSAR Imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(2):66-70.
[22] PASCAZIO V, SCHIRINZI G. Multifrequency InSAR Height Reconstruction through Maximum Likelihood Estimation of Local Planes Parameters[J]. IEEE Transactions on Image Processing, 2002, 11(12):1478-1489.
[23] SHABOU A, TUPIN F. A Markovian Approach for DEM Estimation from Multiple InSAR Data with Atmospheric Contributions[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(4):764-768.
[24] YUAN Zhihui, DENG Yunkai, LI Fei, et al. Improved Multichannel InSAR Height Reconstruction Method Based on Maximum Likelihood Estimation[J]. Journal of Electronics & Information Technology, 2013, 35(9):2161-2167.(袁志辉, 邓云凯, 李飞, 等. 改进的基于最大似然估计的多通道InSAR高程重建方法[J]. 电子与信息学报, 2013, 35(9):2161-2167.)
[25] HUA Fenfen, ZHANG Jixian, HUANG Guoman, et al. Multi-baseline InSAR Elevation Inversion Method Based on Rigorous Model[J]. Journal of Nanjing University of Science and Technology, 2014, 38(6):726-732.(花奋奋, 张继贤, 黄国满, 等. 基于严密模型的多基线InSAR高程反演方法[J]. 南京理工大学学报:自然科学版, 2014, 38(6):726-732.)
