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Per-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping / D. Hester in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 4 (April 2008) . - pp 463 - 471 Titre : Per-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping Type de document : Article/Communication Auteurs : D. Hester, Auteur ; H. Cakir, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 463 - 471 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] Caroline du Nord (Etats-Unis) [Termes IGN] carte d'occupation du sol [Termes IGN] cartographie urbaine [Termes IGN] classification pixellaire [Termes IGN] erreur de classification [Termes IGN] image à très haute résolution [Termes IGN] image Quickbird [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) Commercial high spatial resolution satellite data now provide a synoptic and consistent source of digital imagery with detail comparable to that of aerial photography. In the work described here, per-pixel classification, image fusion, and GIS-based map refinement techniques were tailored to pan-sharpened 0.61 m QuickBird imagery to develop a six-category urban land-cover map with 89.3 percent overall accuracy (k = 0.87). The study area was a rapidly developing 71.5 km2 part of suburban Raleigh, North Carolina, U.S.A., within the Neuse River basin. “Edge pixels” were a source of classification error as was spectral overlap between bare soil and impervious surfaces and among vegetated cover types. Shadows were not a significant source of classification error. These findings demonstrate that conventional spectral-based classification methods can be used to generate highly accurate maps of urban landscapes using high spatial resolution imagery. Copyright ASPRS Numéro de notice : A2008-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.4.463 En ligne : https://doi.org/10.14358/PERS.74.4.463 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29118 [article]