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An advanced algorithm for deformation estimation in non-urban areas / K. Goel in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 73 (September 2012) . - pp 100 - 110 Titre : An advanced algorithm for deformation estimation in non-urban areas Type de document : Article/Communication Auteurs : K. Goel, Auteur ; Nico Adam, Auteur Année de publication : 2012 Article en page(s) : pp 100 - 110 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] déformation de la croute terrestre [Termes IGN] filtrage du bruit [Termes IGN] image radar moirée [Termes IGN] image TanDEM-X [Termes IGN] interferométrie différentielle [Termes IGN] zone rurale Résumé : (Auteur) This paper presents an advanced differential SAR interferometry stacking algorithm for high resolution deformation monitoring in non-urban areas with a focus on distributed scatterers (DSs). Techniques such as the Small Baseline Subset Algorithm (SBAS) have been proposed for processing DSs. SBAS makes use of small baseline differential interferogram subsets. Singular value decomposition (SVD), i.e. L2 norm minimization is applied to link independent subsets separated by large baselines. However, the interferograms used in SBAS are multilooked using a rectangular window to reduce phase noise caused for instance by temporal decorrelation, resulting in a loss of resolution and the superposition of topography and deformation signals from different objects. Moreover, these have to be individually phase unwrapped and this can be especially difficult in natural terrains. An improved deformation estimation technique is presented here which exploits high resolution SAR data and is suitable for rural areas. The implemented method makes use of small baseline differential interferograms and incorporates an object adaptive spatial phase filtering and residual topography removal for an accurate phase and coherence estimation, while preserving the high resolution provided by modern satellites. This is followed by retrieval of deformation via the SBAS approach, wherein, the phase inversion is performed using an L1 norm minimization which is more robust to the typical phase unwrapping errors encountered in non-urban areas. Meter resolution TerraSAR-X data of an underground gas storage reservoir in Germany is used for demonstrating the effectiveness of this newly developed technique in rural areas. Numéro de notice : A2012-548 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31994 [article]

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