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An initial study on automatic reconstruction of ground DEMs from airborne IfSAR DSMs / Y. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 4 (April 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 4 (April 2004) . - pp 427 - 438 Titre : An initial study on automatic reconstruction of ground DEMs from airborne IfSAR DSMs Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; C. Vincent Tao, Auteur ; J.B. Mercer, Auteur Année de publication : 2004 Article en page(s) : pp 427 - 438 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] milieu urbain [Termes IGN] modèle numérique de surface Résumé : (Auteur) The demands for ground digital elevation models (DEMs) have been increasing rapidly. Many modern mapping technologies, such as lidar scanning, interferometric SAR (IfSAR), and stereo image matching, are capable of generating digital surface models (DSMs) directly. Research on deriving DEMs from DSMs is a topical area. Airborne IfSAR technology has been in commercial operation since 1996. However, it is still technically challenging to automate the process of generating DEMs from IfSAR DSMs. The lack of scientific studies in this area is mainly caused by the sensitivity and availability of commercial IfSAR data. In this study, researchers have been working with the commercial IfSAR system developer to perform an initial study on automatic reconstruction of ground DEMsfrom IfSAR DSMs. This paper presents a compact and yet efficient version of our developed approach. This approach has been tested by using many IfSAR DSMs in different hilly urban areas with light and moderate variations in relief. An accuracy analysis of the reconstructed ground DEMs against the laser DSMs and DEMs has also been performed to test the reliability and efficiency of our approach. Numéro de notice : A2004-119 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.4.427 En ligne : https://doi.org/10.14358/PERS.70.4.427 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26646 [article]