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Updating land cover classification using a rule-based decision system / Damien Raclot in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
[article]
Titre : Updating land cover classification using a rule-based decision system Type de document : Article/Communication Auteurs : Damien Raclot, Auteur ; F. Colin, Auteur ; C. Puech, Auteur Année de publication : 2005 Article en page(s) : pp 1309 - 1321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] base de données d'occupation du sol
[Termes IGN] base de règles
[Termes IGN] classification dirigée
[Termes IGN] cultures
[Termes IGN] données auxiliaires
[Termes IGN] Gers (32)
[Termes IGN] image isolée
[Termes IGN] image multibande
[Termes IGN] image SPOT
[Termes IGN] mise à jour
[Termes IGN] occupation du sol
[Termes IGN] parcelle agricole
[Termes IGN] pixel
[Termes IGN] Sousson (rivière)Résumé : (Auteur) This paper proposes a land cover classification methodology in agricultural contexts that provides satisfactory results with a single satellite image per year acquired during the growing period. Our approach incorporates ancillary data such as cropping history (inter-annual crop rotations), context (altitude, soil type) and structure (parcels size and shape) to compensate for the lack of radiometric data resulting from the use of a single image. The originality of the proposed method resides in the three successive steps used: S1: per-pixel classification of a single SPOT XS image with a restricted number of land cover classes (RL) chosen to ensure good accuracy; S2: conversion of RLs into a per-parcel classification system using ancillary parcel boundaries: and S3: parcel allocation using exhaustive land cover classes (EL) and its refinement through the application of decision rules. The method was tested on a 120 km2 area (Sousson river basin, Gers, France) where exhaustive knowledge of land cover for two successive years allowed complete validation of our method. It allocated 87% of the parcels with a 75% accuracy rate according to the exhaustive list (EL). This is a satisfactory result obtained with one SPOT XS image in a small agricultural parcel context. Numéro de notice : A2005-177 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326774 En ligne : https://doi.org/10.1080/01431160512331326774 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27314
in International Journal of Remote Sensing IJRS > vol 26 n° 7 (April 2005) . - pp 1309 - 1321[article]Exemplaires (1)
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