Résultats de la recherche

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Spatio-temporal Clustering and Active Learning for Change Classification in Satellite Image Time Series
Optical image correlation: a tool for the quantification of earth surface motion and the investigation of tectonic and geomorphic processes
Adaptive sampling and object feature selection for landslide mapping using random forests
Object-oriented mapping of urban trees using Random Forest classifiers
Comparison of sampling strategies for object-based classification of urban vegetation from VHR satellite images
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
Top-down hierarchical extraction of landslides from multiresolution optical satellite images
Adaptive spatial sampling with active Random Forest for object-oriented landslide mapping

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