Centre de documentation
scientifique

3D physical versus empirical models for HR sensor orientation and elevation extraction: examples with Ikonos and Quickbird / Thierry Toutin in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)  

Public [article]  inRevue Française de Photogrammétrie et de Télédétection > n° 184 (Décembre 2006) . - pp 115 - 120 Titre : 3D physical versus empirical models for HR sensor orientation and elevation extraction: examples with Ikonos and Quickbird Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur ; P. Schauer, Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 115 - 120 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] altitude [Termes IGN] analyse comparative [Termes IGN] compensation par moindres carrés [Termes IGN] données lidar [Termes IGN] image Ikonos [Termes IGN] image Quickbird [Termes IGN] modèle numérique de surface [Termes IGN] modèle par fonctions rationnelles [Termes IGN] orientation du capteur [Termes IGN] point d'appui Résumé : (Auteur) Elevations for digital surface model (DSM) generation were extracted from different stereo high-resolution (HR) images (QuickBird and Ikonos) using 3D physical and empirical geometric models. The 3D physical model is Toutin's model (TM) developed at the Canada Centre for Remote Sensing, and the empirical model is the rational function model (RFM). First, Vendor-supplied RFMs refined with polynomial functions and TM were compared for the sensor orientations with least-squares adjustments with different number of ground control points (GCPs). TM and RFMs gave similar results with Ikonos as soon as RFM was refined with a shift computed from at least one GCP. On the other hand, TM gave better results than RFMs with QuickBird regardless of the number of GCPs. Due to relief dependency, QuickBird RFM needed to be refined at least with linear functions computed from at least 6-10 GCPs. Some large errors were, however, noted on forward image RFM in column. The stereo-extracted elevations of DSMs were then compared to 0.2-m accurate Lidar elevation data. Because DSM stereo-extracted elevations included the height of land covers (trees, houses), elevation linear errors with 68 percent confidence level (LE68) were computed for the entire area and three land-cover classes (forested, urban/residential, bare surface). TM and RFMs with Ikonos, regardless of the method and GCP number, achieved comparable results for all classes while TM achieved overall better results than RFMs with QuickBird. All results demonstrated the necessity of refining Ikonos RFM with a tri-directional shift and at least one GCP but QuickBird RFM with 1st order linear functions and 6-10 GCPs. Copyright SFPT Numéro de notice : A2006-642 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS1-06.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28365 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
018-06041	RAB	Revue	Centre de documentation	En réserve L003	Disponible