Title :
Parameter estimation for distributed scatterers using high resolution SAR data
Author :
Goel, Kanika ; Adam, Nico
Author_Institution :
Remote Sensing Technol. Inst. (IMF), German Aerosp. Center (DLR), Wessling, Germany
Abstract :
In this paper, a new approach is introduced for deformation monitoring with a focus on distributed scatterers (DSs), wherein, there is no need to unwrap the differential interferograms and the deformation is mapped at object resolution. It is based on a robust object adaptive parameter estimation using single look differential interferograms, where, the local tilts of deformation velocity and local slopes of residual DEM in range and azimuth directions are estimated. A 2D-model deformation integration is then performed using Bayesian inference to get the absolute deformation. This paper presents the technical details and a processing example of this newly developed algorithm using high resolution spotlight TerraSAR-X data of Lueneburg in Germany.
Keywords :
parameter estimation; radar signal processing; synthetic aperture radar; Bayesian inference; TerraSAR-X data; absolute deformation; azimuth directions; deformation monitoring; distributed scatterers; high resolution SAR data; parameter estimation; residual DEM; Azimuth; Bayesian methods; Cities and towns; Decision support systems; Deformable models; Estimation; Parameter estimation; Bayesian Inference; Differential SAR Interferometry; Distributed Scatterer (DS); Small Baseline Subset Algorithm (SBAS); TerraSAR-X;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350640