Article (Scientific journals)
A proof of concept of Iterative DSM improvement through SAR scene simulation
De Rauw, Dominique
2009In ISPRS Journal of Photogrammetry and Remote Sensing, XXXVIII (3/W4), p. 121-126
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Keywords :
SAR; Scene simulation; DSM reconstruction
Abstract :
[en] In Very High Resolution (VHR) Synthesis Aperture Radar (SAR) context, very fine and accurate georeferencing and geoprojection processes are required. Both operations are only applicable if accurate local heights are known. 3D information may be derived from SAR interferometry (InSAR), But in VHR context, InSAR reveals to be inaccurate mostly due to phase unwrapping problems and to phase/height noise. Generated InSAR Digital Surface Models (DSM) can only be considered as a first good approximation of the observed surface. Therefore, we proposed to start from the InSAR DSM, to project it on ground range on a given datum, to model the observed scene using this projected DSM, then to simulate in slant range the intensity image issued from this structure model. Comparison between simulated and observed intensity image can then be used as a criterion to modify and improve the considered underlying DSM. In this paper, we present the different steps of the proposed approach and results obtained so far, showing that the proposed process can be run iteratively to modify the DSM and reach a stable solution.
Research center :
Centre Spatial de Liège - CSL; Royal Military Academy
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
De Rauw, Dominique  ;  Université de Liège - ULiège > CSL (Centre Spatial de Liège)
Language :
English
Title :
A proof of concept of Iterative DSM improvement through SAR scene simulation
Publication date :
September 2009
Journal title :
ISPRS Journal of Photogrammetry and Remote Sensing
ISSN :
0924-2716
Publisher :
Elsevier Science
Volume :
XXXVIII
Issue :
3/W4
Pages :
121-126
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
Automatic Extraction of Man-Made Structures from VHR Optical and SAR data for Change Detection (EMSOR)
Funders :
BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique
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since 24 November 2009

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