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Automatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 11 (November 2011) . - pp 1157 - 1168 Titre : Automatic georeferencing of aerial images using stereo high-resolution satellite images Type de document : Article/Communication Auteurs : J. Oh, Auteur ; K. Toth, Auteur ; A. Grejner-Brzezinska, Auteur Année de publication : 2011 Article en page(s) : pp 1157 - 1168 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] compensation par faisceaux [Termes IGN] erreur de positionnement [Termes IGN] géoréférencement indirect [Termes IGN] image à haute résolution [Termes IGN] image aérienne [Termes IGN] image Ikonos [Termes IGN] point d'appui [Termes IGN] Ransac (algorithme) [Termes IGN] SIFT (algorithme) [Termes IGN] valeur aberrante Résumé : (Auteur) For airborne surveys, the GPS/INS system has become the primary source for aerial image georeferencing. However, alternative automated georeferencing is required to serve as a backup for georeferencing when GPS/iNS-based georeferencing is not feasible. High-resolution satellite images (HRSl) have been globally available with better spatial resolution and increasing positional accuracy. Therefore, hrsi has high potential as a ground control source for aerial image georeferencing which usually requires accurate 3D ground control points. Unfortunately, single imagery, which is often used as a reference, contains relief displacement due to objects on the ground introducing positional errors, unless it is not true orthorectified which is costly and time consuming. Therefore, in this study, a stereo HRSI-based automated georeferencing approach is proposed. The use of stereo images can avoid the impact of relief displacement and requires no external height information. The proposed method is based on a multi-scale image matching approach utilizing a combination of SIFT (Scale-Invariant Feature Transform) and ransac (RANdom SAmple Consensus). In the georeferencing step, the bundle adjustment with outlier removal of Baarda's data snooping was utilized. Experimental results for a strip of aerial images with stereo Ikonos images showed its potential as a backup system for automated georeferencing. Numéro de notice : A2011-449 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.11.1157 En ligne : https://doi.org/10.14358/PERS.77.11.1157 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31227 [article]