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Geometric accuracy evaluation of YG-18 satellite imagery based on RFM / Ruishan Zhao in Photogrammetric record, vol 32 n° 157 (March - May 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 157 (March - May 2017) . - pp 33 - 47 Titre : Geometric accuracy evaluation of YG-18 satellite imagery based on RFM Type de document : Article/Communication Auteurs : Ruishan Zhao, Auteur ; Yonghua Jiang, Auteur ; Guo Zhang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 33 - 47 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] estimation de précision [Termes IGN] géoréférencement direct [Termes IGN] image radar moirée [Termes IGN] image YG [Termes IGN] modèle numérique de surface [Termes IGN] modèle par fonctions rationnelles [Termes IGN] orthorectification automatique [Termes IGN] point d'appui [Termes IGN] précision géométrique (imagerie) [Termes IGN] transformation affine Résumé : (auteur) YaoGan-18 (YG-18) is a Chinese high-resolution synthetic aperture radar (SAR) satellite, which was launched on 29th October 2013. So far, however, there have been no published reports evaluating the geometric accuracy of its imagery; this is rectified in this paper. A refined rational function model (RFM) with an affine transformation is utilised for the spaceborne SAR processing. By setting corner reflectors as ground control points (GCPs) and independent check points, the orthorectification accuracy of YG-18 satellite images was better than 2·5 m. Its stereo-SAR measurement accuracy was subsequently evaluated using a high-precision digital surface model (DSM), achieving an elevation accuracy of 11·36 m. The feasibility of the orthorectification method based on GCPs selected from corresponding image points of YG-18 SAR images and ZiYuan-3 (ZY-3) optical images was also verified, offering single-image accuracy better than 4·5 m. Numéro de notice : A2017-196 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12179 En ligne : http://dx.doi.org/10.1111/phor.12179 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84870 [article]