Laboratoire Image, Ville et Environnement - LIVE - UMR7362

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Active learning in the spatial-domain for landslide mapping in remote sensing images
Active learning in the spatial domain for landslide mapping with VHR optical images
Adaptive sampling and object feature selection for landslide mapping using random forests
Adaptive spatial sampling with active Random Forest for object-oriented landslide mapping
Analyse spatiotemporelle de glissements de terrains littoraux par l’exploitation de données géospatiales multisources
Analysis of land cover changes in the past and the future as contribution to landslide risk scenarios
Analyzing the Composition of Cities Using Spatial Clustering
Approches Multi-Hiérarchiques pour l'Analyse d'Images de Télédétection
Automated mapping of coastline from high resolution satellite images using supervised segmentation
Classification et évolution des tissus urbains à partir de données vectorielles
Coastal image interpretation using background knowledge and semantics
Coastal Image Interpretation Using Background Knowledge and Semantics
Comparison of sampling strategies for object-based classification of urban vegetation from VHR satellite images
Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology
From Expert Knowledge to Formal Ontologies for Semantic Interpretation of the Urban Environment from Satellite Images

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