TOMOGRAPHIC SAR INVERSION FROM MIXED REPEAT- AND SINGLE-PASS DATA STACKS - THE TERRASAR-X/TANDEM-X CASE

被引：0
|
作者：
Zhu, Xiao Xiang [1 ,2 ]
Bamler, Richard [1 ,2 ]
机构：
[1] German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, D-82234 Wessling, Germany
[2] Tech Univ Munich, Lehrstuhl Method Fernerkundung, D-80333 Munich, Germany
来源：
XXII ISPRS CONGRESS, TECHNICAL COMMISSION VII | 2012年 / 39卷 / B7期
关键词：
Tomographic SAR Inversion; TanDEM-X data; SL1MMER;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
This paper presents the first demonstration of high precision very high resolution tomographic SAR inversion with the assistance of TanDEM-X data. The data quality of TerraSAR-X and TanDEM-X is investigated. TomoSAR algorithms such as SVD-Wiener, Nonlinear Least Squares and SL1MMER are extended for mixed repeat-and single-pass data stacks. A systematic approach is proposed for the fusion of TerraSAR-X and TanDEM-X data in which the different data quality provided by the TerraSAR-X and TanDEM-X data are taken into account by introducing a weighting according to the noise covariance matrix. The proposed approach is evaluated with simulated data. The simulation result shows that the reconstruction accuracy of tomographic SAR inversion can be improved significantly by using jointly fused TerraSAR-X and TanDEM-X data.
引用
收藏
页码：97 / 102
页数：6
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