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Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images
Spatio-temporal Clustering and Active Learning for Change Classification in Satellite Image Time Series
An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation
Comparison of sampling strategies for object-based classification of urban vegetation from VHR satellite images
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
Active learning in the spatial domain for landslide mapping with VHR optical images
Active learning in the spatial-domain for landslide mapping in remote sensing 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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