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Let's Do the Time Warp: Multicomponent Nonlinear Motion Estimation in Differential SAR Tomography

Zhu, Xiao Xiang and Bamler, Richard (2011) Let's Do the Time Warp: Multicomponent Nonlinear Motion Estimation in Differential SAR Tomography. IEEE Geoscience and Remote Sensing Letters, 8 (4), pp. 735-739. DOI: 10.1109/LGRS.2010.2103298. ISSN 1545-598X.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5721788&tag=1

Abstract

In the differential SAR Tomography (D-TomoSAR) system model the motion history appears as a phase term. In the case of nonlinear motion this phase term is no longer linear and, hence, can not be retrieved by spectral estimation. We propose the �time warp� method that rearranges the acquisition dates such that a linear motion is pretended. The multi-component generalization of time warp rewrites the D-TomoSAR system model to an M+1-dimensional standard spectral estimation problem, where M indicates the user defined motion model order and, hence, enables the motion estimation for all possible complex motion models. Both simulations and real data (from TerraSAR-X spotlight) examples demonstrate the applicability of the method and show that linear and periodic (seasonal) motion components can be separated and retrieved.

Document Type:Article
Title:Let's Do the Time Warp: Multicomponent Nonlinear Motion Estimation in Differential SAR Tomography
Authors:
AuthorsInstitution or Email of Authors
Zhu, Xiao XiangDLR-IMF/TUM-LMF
Bamler, RichardDLR-IMF/TUM-LMF
Date:July 2011
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI:10.1109/LGRS.2010.2103298
Page Range:pp. 735-739
ISSN:1545-598X
Status:Published
Keywords:Differential SAR tomography, time warp, multi-component nonlinear motion, TerraSAR-X
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Xiao Xiang Zhu
Deposited On:09 Mar 2011 07:48
Last Modified:12 Dec 2013 21:15

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