面向多基线干涉SAR高程反演的全局最优相干方法

doi:10.11947/j.AGCS.2015.20140694

测绘学报 ›› 2015, Vol. 44 ›› Issue (11): 1263-1270.doi: 10.11947/j.AGCS.2015.20140694

面向多基线干涉SAR高程反演的全局最优相干方法

花奋奋¹, 赵争², 王萌萌², 张继贤², 黄国满²

1. 中国矿业大学环境与测绘学院, 江苏徐州 221116;
2. 中国测绘科学研究院, 北京 100830

收稿日期:2014-12-30 修回日期:2015-06-09 出版日期:2015-11-20 发布日期:2015-11-25
作者简介:花奋奋(1985-),男,博士生,研究方向为干涉合成孔径雷达数据处理。E-mail:bthree@tom.com
基金资助:
国家自然科学基金(41401530);2015年度遥感青年科技人才创新资助计划;测绘地理信息公益性行业科研专项(201412002;201412010);江苏高校优势学科建设工程资助项目

A Global Optimal Coherence Method for Multi-baseline InSAR Elevation Inversion

HUA Fenfen¹, ZHAO Zheng², WANG Mengmeng², ZHANG Jixian², HUANG Guoman²

1. School of Environmental Science and Spatial Informatics, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China;
2. Chinese Academy of Surveying and Mapping, Beijing 100830, ChinaAbstract

Received:2014-12-30 Revised:2015-06-09 Online:2015-11-20 Published:2015-11-25
Supported by:
The National Natural Science Foundation of China(No. 41401530) The 2015 Annual Remote Sensing Young Talents of Innovation Foundation Public Science Research Program of Surveying, Mapping and Geoinformation(Nos. 201412002201412010) A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要/Abstract

摘要： 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。

关键词: 多基线, 干涉SAR, 极化最优相干, 高程反演, 散射中心

Abstract: A global optimal coherence method for elevation inversion from multi-baseline polarimetric InSAR data is proposed. The multi-baseline polarimetric InSAR data used in experiments were obtained by Chinese X-SAR system and Germany's E-SAR system. Through combining several full polarimetric InSAR images, the proposed method constructs the multi-baseline polarimetric InSAR coherency matrix, and solves the optimal interferograms under global optimal coherence criterion. The optimal interferograms generated by global optimal coherence method were used to calculate the elevation of target with multi-baseline InSAR elevation inversion method. The proposed method reduces the influence of different scattering centers effectively using multi-baseline InSAR, which improves the accuracy and reliability of the interferometric phase and eventually improves the accuracy of DEM. The results verify the validity of the proposed method.

Key words: multibaseline, interferometric SAR, polarimetric coherence optimization, elevation inversion, scattering center

中图分类号:

P237

花奋奋, 赵争, 王萌萌, 张继贤, 黄国满. 面向多基线干涉SAR高程反演的全局最优相干方法[J]. 测绘学报, 2015, 44(11): 1263-1270.

HUA Fenfen, ZHAO Zheng, WANG Mengmeng, ZHANG Jixian, HUANG Guoman. A Global Optimal Coherence Method for Multi-baseline InSAR Elevation Inversion[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11): 1263-1270.

参考文献

[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.)

面向多基线干涉SAR高程反演的全局最优相干方法

A Global Optimal Coherence Method for Multi-baseline InSAR Elevation Inversion

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