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EVALUATION DES ERREURS DE CARTES DE VEGETATION AVEC UNE APPROCHE PAR ENSEMBLES FLOUS ET AVEC LA SIMULATION D'IMAGES SATELLITE

Abstract : In highly bio-diverse regions, characterized by dynamic landscapes, detailed land use and land cover maps are commonly generated through the classification of remote sensing imagery. Yet, frameworks for the estimation of errors on maps have focused on mainly temperate zones, in highly industrialized countries.
We propose a new method for the accuracy assessment of maps and a new method for the systematic estimation of ambiguities on satellite imagery. The first method comprises a novel sampling scheme and a fuzzy sets based framework whereby degrees of positional and thematic tolerance are user defined. The second method is based on structural and optical measurements and the simulation of satellite imagery with the Discrete Anisotropic Radiative Transfer (DART) model. The first method was successfully tested on the Mexican National Forest Inventory map of year 2000 and the second method was successfully tested on real IKONOS imagery of forest cover types on flat and rugged terrain.
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Submitted on : Tuesday, December 4, 2007 - 4:33:38 PM
Last modification on : Saturday, January 9, 2021 - 3:31:04 AM
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  • HAL Id : tel-00193828, version 1

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Stéphane Couturier. EVALUATION DES ERREURS DE CARTES DE VEGETATION AVEC UNE APPROCHE PAR ENSEMBLES FLOUS ET AVEC LA SIMULATION D'IMAGES SATELLITE. Autre. Université Paul Sabatier - Toulouse III, 2007. Français. ⟨tel-00193828⟩

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