Goel, Kanika and Adam, Nico (2010) A Bayesian Method for Very High Resolution Multi Aspect Angle Radargrammetry. EUSAR, Aachen, Germany.
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Abstract
InSAR’s capabilities have been considerably improved by advanced processing techniques such as Persistent Scatterer Interferometry (PSI) and SAR Tomography (TomoSAR). However, complicated scattering situations (e.g. layover) need to be better resolved in urban areas. This paper presents a new technique for providing the 3D point scatterer location and the resolution cell configuration, based only on the amplitude of SAR images. The implemented method is based on the principle of radargrammetry and uses Bayesian inference. As com-pared to PSI and TomoSAR, the method is insensitive to temporal decorrelation, atmospheric phase screen (APS) and non-linear motion of point scatterers.
Item URL in elib: | https://elib.dlr.de/66174/ | |||||||||
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Document Type: | Conference or Workshop Item (Speech) | |||||||||
Title: | A Bayesian Method for Very High Resolution Multi Aspect Angle Radargrammetry | |||||||||
Authors: |
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Date: | June 2010 | |||||||||
Refereed publication: | Yes | |||||||||
Open Access: | Yes | |||||||||
Gold Open Access: | No | |||||||||
In SCOPUS: | No | |||||||||
In ISI Web of Science: | No | |||||||||
Page Range: | pp. 158-161 | |||||||||
Status: | Published | |||||||||
Keywords: | SAR radargrammetry, Bayesian inference, particle filters, directed graphical models, model selection, Persistent Scatterer Interferometry, SAR Tomography, TerraSAR-X. | |||||||||
Event Title: | EUSAR | |||||||||
Event Location: | Aachen, Germany | |||||||||
Event Type: | international Conference | |||||||||
HGF - Research field: | Aeronautics, Space and Transport (old) | |||||||||
HGF - Program: | Space (old) | |||||||||
HGF - Program Themes: | W - no assignment | |||||||||
DLR - Research area: | Space | |||||||||
DLR - Program: | W - no assignment | |||||||||
DLR - Research theme (Project): | W - no assignment (old) | |||||||||
Location: | Oberpfaffenhofen | |||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | |||||||||
Deposited By: | Goel, Kanika | |||||||||
Deposited On: | 10 Nov 2010 08:22 | |||||||||
Last Modified: | 31 Jul 2019 19:29 |
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