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Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery / Taoyang Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 4 (April 2016) . - pp 291 - 298 Titre : Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery Type de document : Article/Communication Auteurs : Taoyang Wang, Auteur ; Guo Zhang, Auteur ; Yonghua Jiang, Auteur Année de publication : 2016 Article en page(s) : pp 291 - 298 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] champ visuel [Termes IGN] échantillonnage d'image [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image GF-1 [Termes IGN] modèle par fonctions rationnelles [Termes IGN] orientation interne Résumé : (auteur) The internal geometric distortion of charge-coupled-device (CCD) chips degrades the internal geometric accuracy of satellite images. Even if a large number of ground control points (GCPs) are used for geometric correction, the satellite images cannot always be used for direct mapping. Because of the current lack of core parameters for building a rigorous geometric model, this paper proposes a combined interior-orientation calibration method based on the rational function model (RFM) for multiple GF-1 wide-field-of-view (WFV) images of the same general scene. A polynomial model of look angles in the image space is chosen to compensate for the systemic error of CCD chips. After calibration for sensors 1 to 4, the orientation accuracy is improved to 0.4 pixels. Moreover, the residual error figures show no obvious trend. Other GF-1 WFV images are calibrated using the obtained interior-orientation parameters, and the improvement in their orientation accuracy is demonstrated to validate the effectiveness of the proposed method. Numéro de notice : A2016-181 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.4.291 En ligne : https://doi.org/10.14358/PERS.82.4.291 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80524 [article]