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Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques / E. Erten in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 4 (July - August 2010) . - pp 388 - 394 Titre : Generation of three-dimensional deformation maps from InSAR data using spectral diversity techniques Type de document : Article/Communication Auteurs : E. Erten, Auteur ; A. Reigber, Auteur ; O. Hellwich, Auteur Année de publication : 2010 Article en page(s) : pp 388 - 394 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] données localisées 3D [Termes IGN] image Envisat-ASAR [Termes IGN] image radar moirée [Termes IGN] interferométrie différentielle [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] Iran [Termes IGN] séisme Résumé : (Auteur) The capability of DInSAR (Differential Interferometric SAR) for precise large-scale deformation analysis has been shown in various case studies. Generally, DInSAR possesses a high potential for monitoring deformation, but only the velocity component parallel to the line-of-sight direction can be measured. An alternative approach, capable to retrieve the deformation velocity in both range and azimuth direction, is the so-called spectral diversity technique. Spectral diversity is based on a phase comparison between different sub-aperture interferograms of the scene and can generally be regarded as a high-performance technique for estimating the mis-registration between complex SAR images. In this paper, the following questions will be discussed: how to implement the spectral diversity technique for achieving the most accurate results; how to extract the full 3D deformation vector from a combination of ascending/descending passes and how to extract a surface deformation map if the data sets are not perfectly coherent. Finally, a statistical analysis of every individual processing step and an error propagation analysis is undertaken. In order to make a quantitative analysis of the technique, ENVISAT data sets of the Bam earthquake in Iran are used. Numéro de notice : A2010-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.04.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30492 [article]

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