Détail de l'auteur
Auteur Yi Fang |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Geometric calibration of Ziyuan-3 three-line cameras using ground control lines / Jinshan Cao in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 11 (November 2016)
[article]
Titre : Geometric calibration of Ziyuan-3 three-line cameras using ground control lines Type de document : Article/Communication Auteurs : Jinshan Cao, Auteur ; Xiuxiao Yuan, Auteur ; Yi Fang, Auteur ; Jianya Gong, Auteur Année de publication : 2016 Article en page(s) : pp 893 - 902 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] coplanarité
[Termes IGN] données de terrain
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] étalonnage géométrique
[Termes IGN] géoréférencement
[Termes IGN] image ZiYuan-3Résumé : (Auteur) Owing to the large biases of laboratory-calibrated imaging parameters, the initial direct georeferencing accuracy of Ziyuan-3 (zy-3) three-line camera (tlc) images can only reach the kilometer level. In this paper, a line-based geometric calibration model is established by using the line-coplanarity constraint, and a feasible geometric calibration approach for the zy-3 tlcs using ground control lines (gcls) is presented. Experimental results show that the calibration accuracy achieved by using gcls reached about 1.0 pixel, which was almost the same as that achieved by using ground control points (gcps). After substituting gcls for gcps in the geometric calibration, the georeferencing accuracy of the zy-3 tlc images without ground controls was significantly improved from the kilometer level to better than 11 m in planimetry and 8 m in height. A better georeferencing accuracy of about 3.0 m in planimetry and 2.5 m in height was achieved after the block adjustment with four gcps. Numéro de notice : A2016-946 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.11.893 En ligne : http://dx.doi.org/10.14358/PERS.82.11.893 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83440
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 11 (November 2016) . - pp 893 - 902[article]