DocumentCode :
51587
Title :
Superresolving SAR Tomography for Multidimensional Imaging of Urban Areas: Compressive sensing-based TomoSAR inversion
Author :
Xiao Xiang Zhu ; Bamler, Richard
Author_Institution :
Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Germany
Volume :
31
Issue :
4
fYear :
2014
fDate :
Jul-14
Firstpage :
51
Lastpage :
58
Abstract :
With reference to the current status of VHR spaceborne tomographic SAR inversion presented in this article, the following conclusions can be drawn: VHR tomographic SAR inversion is able to reconstruct the shape and motion of individual buildings and entire city areas. SR is crucial and possible, e.g., using CS, for VHR tomographic SAR inversion for urban infrastructure. The motion or deformation of buildings is often nonlinear (periodic, accelerating, stepwise, etc.). Multicomponent nonlinear motion of multiple scatterers can be separated. The 4-D point clouds retrieved by VHR TomoSAR has a point density comparable to LiDAR and can be potentially used for dynamic city model reconstruction.
Keywords :
compressed sensing; image motion analysis; image reconstruction; radar imaging; radar resolution; synthetic aperture radar; tomography; 4D point clouds; LiDAR; VHR spaceborne tomographic SAR inversion; building deformation; compressive sensing-based TomoSAR inversion; dynamic city model reconstruction; motion reconstruction; multicomponent nonlinear motion; multidimensional imaging; multiple scatterers; point density; shape reconstruction; synthetic aperture radar; urban areas; urban infrastructure; very high spatial resolution SAR tomography; Mathematical model; Signal processing algorithms; Signal resolution; Signal to noise ratio; Synthetic aperture radar; Tomography; Urban areas;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2014.2312098
Filename :
6832819
Link To Document :
بازگشت