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Improving building footprints in InSAR data comparison with a Lidar DSM / Paolo Gamba in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 1 (January 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 1 (January 2006) . - pp 63 - 70 Titre : Improving building footprints in InSAR data comparison with a Lidar DSM Type de document : Article/Communication Auteurs : Paolo Gamba, Auteur ; F. Dell'acqua, Auteur ; G. Lisini, Auteur ; F. Cisotta, Auteur Année de publication : 2006 Article en page(s) : pp 63 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] correction géométrique [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] étalement d'histogramme [Termes IGN] image 3D [Termes IGN] image radar moirée [Termes IGN] milieu urbain [Termes IGN] modèle numérique de surface Résumé : (Auteur) The first aim of this paper is to show how the joint use of Digital Surface Models (Dsms) coming from different sources may improve the understanding of an urban environment. More specifically, we consider laser and radar three-dimensional data over the same urban area and show that they can be profitably combined to improve building extraction. We exploit the better vertical and horizontal accuracy of the laser DSM, assumed to be available only for a small area, to ease the deformation of Interferometric Synthetic Aperture Radar (INSAR) DSM with built structures. To achieve this, we propose a method based on subsequent steps of geometrical correction, and mainly on a simple "stretching step" that uses laser data as a reference to adjust INSAR-derived building footprints. We show quantitative results obtained from two different urban areas, using different laser and radar data sets, to assess advantages and drawbacks of the proposed method. Numéro de notice : A2006-002 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.1.63 En ligne : https://doi.org/10.14358/PERS.72.1.63 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27730 [article]