TY - JOUR
T1 - An efficient tomographic inversion approach for urban mapping using meter resolution sar image stacks
AU - Wang, Yuanyuan
AU - Zhu, Xiao Xiang
AU - Bamler, Richard
PY - 2014/7
Y1 - 2014/7
N2 - This letter describes an efficient approach of multidimensional synthetic aperture radar (SAR) imaging for urban mapping. The proposed approach is an integration of tomographic SAR inversion and the well-known persistent scatterer interferometry (PSI). It consists of three steps: first, a global estimation of the topography and motion parameters using efficient algorithms such as PSI; second, a single and double scatterer discrimination step based on the results of the first step; finally, a tomographic SAR inversion, which is performed on the preclassified double scatterers, using the prior knowledge obtained in the first step, retrieving the topography and motion parameters of both scatterers. The proposed approach has been tested on a dozen of TerraSAR-X high-resolution spotlight image stacks. In this letter, examples from Las Vegas and Berlin are presented. The results are comparable with the one obtained by the most computationally expensive tomographic SAR algorithms (e.g., SL1MMER) only and saves computational time by a factor of 50.
AB - This letter describes an efficient approach of multidimensional synthetic aperture radar (SAR) imaging for urban mapping. The proposed approach is an integration of tomographic SAR inversion and the well-known persistent scatterer interferometry (PSI). It consists of three steps: first, a global estimation of the topography and motion parameters using efficient algorithms such as PSI; second, a single and double scatterer discrimination step based on the results of the first step; finally, a tomographic SAR inversion, which is performed on the preclassified double scatterers, using the prior knowledge obtained in the first step, retrieving the topography and motion parameters of both scatterers. The proposed approach has been tested on a dozen of TerraSAR-X high-resolution spotlight image stacks. In this letter, examples from Las Vegas and Berlin are presented. The results are comparable with the one obtained by the most computationally expensive tomographic SAR algorithms (e.g., SL1MMER) only and saves computational time by a factor of 50.
KW - SAR tomography (TomoSAR)
KW - SL1MMER
KW - TerraSAR-X
KW - synthetic aperture radar (SAR)
KW - urban mapping
UR - http://www.scopus.com/inward/record.url?scp=84897023995&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2013.2290833
DO - 10.1109/LGRS.2013.2290833
M3 - Article
AN - SCOPUS:84897023995
SN - 1545-598X
VL - 11
SP - 1250
EP - 1254
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
IS - 7
M1 - 6714382
ER -