Spatial ensemble learning for heterogeneous geographic data with class ambiguity

Keyphrases

• Geographic Information 100%
• Ensemble Learning 100%
• Class Ambiguity 100%
• Spatial Ensemble 100%
• Wetland Mapping 16%
• Learning Problems 16%
• Geographic Region 16%
• Spatial Autocorrelation 16%
• Disjoint 16%
• Spatial Dependence 16%
• Random Forest 16%
• Geographical Space 16%
• Similar Features 16%
• Greedy Heuristic 16%
• Zone-based 16%
• Land Cover Mapping 16%
• Sampling Distribution 16%
• Ensemble Framework 16%
• Spatial Use 16%
• Multi-modular 16%
• Earth Observation Data 16%
• Feature Vector Space 16%
• Spatial Patches 16%
• Mixture-of-experts 16%
• Local Classifier 16%
• Multimodal Ensemble 16%
• Ensemble Learning Framework 16%
• High Computational Cost 16%
• Spectral Confusion 16%

Computer Science

• Geographic Data 100%
• Ensemble Learning 100%
• Learning Problem 25%
• Geographic Space 25%
• Greedy Heuristic 25%
• Learning Framework 25%
• Random Decision Forest 25%
• Input Partition 25%
• Computational Cost 25%
• Feature Vector 25%
• Spatial Autocorrelation 25%
• Sample Distribution 25%