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题目:Very High Resolution Tomographic Urban Mapping Using TerraSAR-X and TanDEM-X Data

报告人:Dr. Xiao Xiang Zhu

时间:2012-05-04 10:30:00

地点:新科技楼1602

Abstract:

With the launches of new SAR sensors, such as the German TerraSAR-X/TanDEM-X and the Italian COSMO-Skymed satellites, SAR remote sensing from space has made a big leap forward with a very high spatial resolution of up to 1 m, and hence open up for the first time opportunities to use SAR for 2-D, 3-D, 4-D (space-time) or even higher dimensional imaging of urban structures and individual buildings from space:1The first 3-D and 4-D tomographic reconstructions of an entire building complex with very high level of detail from space-borne SAR data will be presented. 2A compressive sensing based SL1MMER algorithm is proposed and compared to the convention non-parametric linear maxima a posterior reconstruction and parametric nonlinear least square method. 3The “time warp” method is proposed that enables the tomographic motion estimation for all possible complex motion models.

Xiao Xiang Zhu received the bachelor degree in space engineering from the National University of Defense Technology, Changsha, China, in 2006. She received the Master degree and her doctor of engineering degree from Technische Universität München (TUM), München, Germany, in 2008 and 2011, respectively. Since May 2011, she has been a full-time scientific collaborator with the Remote Sensing Technology Institute, German Aerospace Center (DLR). Her main research interests are advanced InSAR techniques such as high dimensional SAR imaging and SqueeSAR, computer vision in remote sensing including object reconstruction and multi-dimensional data visualization, and modern signal processing, including innovative algorithms such as compressive sensing and sparse reconstruction, with applications in the field of remote sensing. And she is the author of 48 scientific publications, among them 18 peer-reviewed papers and 4 paper awards

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