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Auteur L. Ren |
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Geometric rectification of satellite imagery with ground control using space oblique mercator projection theory / L. Ren in Cartography and Geographic Information Science, vol 37 n° 4 (October 2010)
[article]
Titre : Geometric rectification of satellite imagery with ground control using space oblique mercator projection theory Type de document : Article/Communication Auteurs : L. Ren, Auteur ; K. Clarke, Auteur ; C. Zhou, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 261 - 272 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction d'image
[Termes IGN] correction géométrique
[Termes IGN] géoréférencement
[Termes IGN] image IRS
[Termes IGN] image panchromatique
[Termes IGN] point d'appui
[Termes IGN] projection de Mercator obliqueRésumé : (Auteur) Precise geometric rectification of satellite imagery normally requires knowing the geodetic location of features identifiable in the image, called ground control points (GCPs). In many cases, however, it is difficult to compute a precise geometric rectification because too few GCPs are available due to the lack of ground data or the nature of the terrain (lakes or oceans, deserts, continuous forest, etc). When too few GCPs are available, Space Oblique Mercator (SOM) projection theory can be applied to provide continuous precise geometric rectification of image tiles or scenes. We use GCPs from adjacent, prior, or subsequent image tiles to create the projection geometry for the intermediate tiles. In this paper, we report on the development of a procedure to implement the use of ancillary GCPs in georectifying under-controlled imagery. To validate our method, a test example was computed using 1999 data obtained by a panchromatic camera on board the Indian Remote Sensing satellite IRS-1C with a spatial resolution of 5.8 m. The testing showed that the precision of geometric rectification in a tile without GCPs is within three pixels (about 17.4 m), and the speed of computation is faster than with traditional methods. Numéro de notice : A2010-538 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304010793454309 En ligne : https://doi.org/10.1559/152304010793454309 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30730
in Cartography and Geographic Information Science > vol 37 n° 4 (October 2010) . - pp 261 - 272[article]Exemplaires(1)
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