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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)  

Public [article]  inCartography and Geographic Information Science > vol 37 n° 4 (October 2010) . - pp 261 - 272 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 oblique Résumé : (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 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Incorporating data quality information in mapping American community survey data / M. Sun in Cartography and Geographic Information Science, vol 37 n° 4 (October 2010)  

Public [article]  inCartography and Geographic Information Science > vol 37 n° 4 (October 2010) . - pp 285 - 300 Titre : Incorporating data quality information in mapping American community survey data Type de document : Article/Communication Auteurs : M. Sun, Auteur ; D. Wong, Auteur Année de publication : 2010 Article en page(s) : pp 285 - 300 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données démographiques [Termes IGN] Etats-Unis [Termes IGN] fiabilité des données [Termes IGN] métadonnées [Termes IGN] qualité des données [Termes IGN] recensement démographique Résumé : (Auteur) This paper proposes a set of methods to map the American Community Survey (ACS) data disseminated by the U.S. Census Bureau. The ACS replaces part of the original census (long form) in the 2010 decennial Census in the U.S. Reliability of estimates should be taken into account when analyzing and mapping ACS data because these estimates are derived from surveys with sample sizes much smaller than those in the decennial censuses. Most maps using ACS data do not include data reliability information. In this article, we review the standard data quality or reliability information accompanying the ACS estimates. We propose a set of techniques to map ACS estimates by incorporating the margin of error (MOE) or related information either on the map display or in the mapping process. The techniques are proposed in two contexts: recognizing the varying degree of reliability among estimates, and determining if estimates are statistically different. They offer cartographers and GIS users some options to map ACS estimates and handle the reliability information simultaneously. Numéro de notice : A2010-539 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304010793454363 En ligne : https://doi.org/10.1559/152304010793454363 Format de la ressource électronique : url artcle Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30731 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible