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Auteur H. Ge |
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Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ Image / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)
[article]
Titre : Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ Image Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; H. Ge, Auteur ; A. Xu, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1343 - 1350 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction d'image
[Termes IGN] image Landsat-ETM+
[Termes IGN] montagne
[Termes IGN] pente
[Termes IGN] réflectanceRésumé : (Auteur) The topographic effect on land surface reflectance is an important factor affecting quantitative analysis of remotely sensed data in mountainous regions. Different approaches have been developed to reduce topographical effects. Of the many methods, the Minnaert correction method is most frequently used for topographic correction, but a single global Minnaert value used in previous research cannot effectively reduce topographic effects on the remotely sensed data, especially in the areas with steep slopes. This paper explores the method to develop a pixel-based Minnaert coefficient image based on the established relationship between Minnaert coefficients and topographic slopes. A texture measure based on homogeneity is used to evaluate the topographic correction result. This study has demonstrated promising in reducing topographic effects on the Landsat ETM+ image with the pixel-based Minnaert correction method. Copyright ASPRS Numéro de notice : A2008-408 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.11.1343 En ligne : https://doi.org/10.14358/PERS.74.11.1343 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29400
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 11 (November 2008) . - pp 1343 - 1350[article]