TY - GEN
T1 - Multi-component nonlinear motion estimation in differential SAR tomography - The time-warp method
AU - Zhu, Xiao Xiang
AU - Bamler, Richard
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Differential SAR tomography
KW - TerraSAR-X
KW - multi-component nonlinear motion
KW - time warp
UR - http://www.scopus.com/inward/record.url?scp=80955159999&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2011.6049696
DO - 10.1109/IGARSS.2011.6049696
M3 - Conference contribution
AN - SCOPUS:80955159999
SN - 9781457710056
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2409
EP - 2412
BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
T2 - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Y2 - 24 July 2011 through 29 July 2011
ER -