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Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 10 (October 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 10 (October 2012) . - pp 1045 - 1056 Titre : Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information Type de document : Article/Communication Auteurs : J. Oh, Auteur ; C. Lee, Auteur ; Y. Eo, Auteur ; J. Bethel, Auteur Année de publication : 2012 Article en page(s) : pp 1045 - 1056 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] accentuation d'image [Termes IGN] appariement d'images [Termes IGN] corrélation croisée normalisée [Termes IGN] données lidar [Termes IGN] image Kompsat [Termes IGN] image à haute résolution [Termes IGN] modèle par fonctions rationnelles [Termes IGN] superposition d'images Résumé : (Auteur) A large amount high-resolution satellite imagery (hrsi) has been available in the commercial market because of its value in creating accurate base maps for various applications. As massive amounts of HRSI are acquired globally by satellites with short revisit times, automated but accurate georegistration is still required despite advances in precise orbit tracking and estimation. Motivated by the attractive properties of airborne lidar data, such as their high resolu-tion and accuracy, this study proposes a new automated method for refining the HRSI with rational polynomial coefficients (RPCs) using airborne lidar information. By projecting the lidar intensity return into the HRSI space, the image matching complexity is reduced to a simple, 2D case. The true challenge is in overcoming the difference between the HRSI and the lidar intensity return to allow for reliable matching. To this end, this paper proposes a new method based on simple relative edge cross correlation (RECC) with a screening method to prevent false matching. To make the approach more robust, data snooping was added for a final detection of outliers. Experiments were performed using three Kompsat-2 images and the potential of the approach. Numéro de notice : A2012-485 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.10.1045 En ligne : https://doi.org/10.14358/PERS.78.10.1045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31931 [article]

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]