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A Bayesian Method for Very High Resolution Multi Aspect Angle Radargrammetry

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/
Document Type:Conference or Workshop Item (Speech)
Title:A Bayesian Method for Very High Resolution Multi Aspect Angle Radargrammetry
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Goel, KanikaDLRUNSPECIFIED
Adam, NicoDLRUNSPECIFIED
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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