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Multi-component nonlinear motion estimation in differential SAR tomography – the time-warp method

Zhu, Xiao Xiang and Bamler, Richard (2011) Multi-component nonlinear motion estimation in differential SAR tomography – the time-warp method. IGARSS 2011, 24-29 July 2011, Vancouver, Canada. ISBN 978-1-4577-1003-2 . ISSN 2153-6996

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6049696

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+l-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:Conference or Workshop Item (Speech)
Title:Multi-component nonlinear motion estimation in differential SAR tomography – the time-warp method
Authors:
AuthorsInstitution or Email of Authors
Zhu, Xiao XiangDLR,TUM
Bamler, RichardDLR,TUM
Date:24 July 2011
Refereed publication:No
In ISI Web of Science:No
Page Range:2409-2412
Series Name:Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
ISSN:2153-6996
ISBN:978-1-4577-1003-2
Status:Published
Keywords:synthetic aperture radar (SAR), Differntial SAR tomography (DTomoSAR), non-linear motion, time-warp
Event Title:IGARSS 2011
Event Location:Vancouver, Canada
Event Type:international Conference
Event Dates:24-29 July 2011
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: Yuanyuan Wang
Deposited On:07 Sep 2011 15:09
Last Modified:21 Mar 2014 09:57

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