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| Reference : A proof of concept of Iterative DSM improvement through SAR scene simulation |
| Scientific journals : Article | |||
| Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others | |||
| http://hdl.handle.net/2268/29142 | |||
| A proof of concept of Iterative DSM improvement through SAR scene simulation | |
| English | |
De Rauw, Dominique  [Université de Liège - ULg > > CSL (Centre Spatial de Liège) >] | |
| Sep-2009 | |
| ISPRS Journal of Photogrammetry & Remote Sensing | |
| Elsevier Science | |
| XXXVIII | |
| 3/W4 | |
| 121-126 | |
| Yes (verified by ORBi) | |
| International | |
| 0924-2716 | |
| [en] SAR ; Scene simulation ; DSM reconstruction | |
| [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. | |
| Centre Spatial de Liège - CSL; Royal Military Academy | |
| Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy | |
| Automatic Extraction of Man-Made Structures from VHR Optical and SAR data for Change Detection (EMSOR) | |
| Researchers | |
| http://hdl.handle.net/2268/29142 |
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