Goel, Kanika and Adam, Nico (2014) A distributed scatterer interferometry approach for precision monitoring of known surface deformation phenomena. IEEE Transactions on Geoscience and Remote Sensing, 52 (9), pp. 5454-5468. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2013.2289370. ISSN 0196-2892.
Full text not available from this repository.
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6679273
Abstract
This paper presents a new technique for mapping mean deformation velocity in highly decorrelated areas with known deformation patterns, exploiting high resolution SAR data. The implemented method is based on distributed scatterers (DSs) and first makes use of the Anderson-Darling (AD) statistical test to identify homogenous patches of pixels based on SAR amplitude images. Then, a robust object adaptive parameter estimation is performed to estimate the local gradients of deformation velocity and the local gradients of residual DEM in range and azimuth directions for these patches, utilizing small baseline differential interferograms. And finally, the information obtained from different patches is connected to get the deformation velocity, via a two-dimensional model-based deformation integration using Bayesian inference. Compared to published multitemporal interferometric work, the main advantage of the newly developed algorithm is that it does not require any phase unwrapping and because of this, the method is largely insensitive to decorrelation phenomenon occurring in natural terrains and the availability of persistent scatterers (PSs), in contrast to the coherent stacking techniques such as Persistent Scatterer Interferometry (PSI), Small Baseline Subset Algorithm (SBAS) and SqueeSAR. The method is computationally inexpensive with respect to SqueeSAR, as only the small baseline interferograms are used for the processing. The method provides spatially dense deformation velocity maps at a suitable object resolution, as compared to a few measured points provided by the stacking techniques in difficult decorrelated regions. High Resolution Spotlight TerraSAR-X dataset of Lueneburg in Germany is used as a processing example of this technique.
Item URL in elib: | https://elib.dlr.de/88685/ | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Article | |||||||||
Title: | A distributed scatterer interferometry approach for precision monitoring of known surface deformation phenomena | |||||||||
Authors: |
| |||||||||
Date: | September 2014 | |||||||||
Journal or Publication Title: | IEEE Transactions on Geoscience and Remote Sensing | |||||||||
Refereed publication: | Yes | |||||||||
Open Access: | No | |||||||||
Gold Open Access: | No | |||||||||
In SCOPUS: | Yes | |||||||||
In ISI Web of Science: | Yes | |||||||||
Volume: | 52 | |||||||||
DOI : | 10.1109/TGRS.2013.2289370 | |||||||||
Page Range: | pp. 5454-5468 | |||||||||
Editors: |
| |||||||||
Publisher: | IEEE - Institute of Electrical and Electronics Engineers | |||||||||
ISSN: | 0196-2892 | |||||||||
Status: | Published | |||||||||
Keywords: | Differential Interferometric SAR (DInSAR), Distributed Scatterer (DS), High Resolution SAR, Small Baseline Subset Algorithm (SBAS), SqueeSAR, TerraSAR-X | |||||||||
HGF - Research field: | Aeronautics, Space and Transport | |||||||||
HGF - Program: | Space | |||||||||
HGF - Program Themes: | Earth Observation | |||||||||
DLR - Research area: | Raumfahrt | |||||||||
DLR - Program: | R EO - Earth Observation | |||||||||
DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | |||||||||
Location: | Oberpfaffenhofen | |||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | |||||||||
Deposited By: | Goel, Kanika | |||||||||
Deposited On: | 09 Apr 2014 12:38 | |||||||||
Last Modified: | 08 Mar 2018 18:34 |
Repository Staff Only: item control page