SAHC uses trainable hierarchy matrices and a consensus mechanism across granularity levels to learn hierarchical features for remote sensing image classification.
Settles,Active Learning, ser
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A Hierarchical Self-Consistent Regularization Approach to Satellite Image Time Series Classification
SAHC uses trainable hierarchy matrices and a consensus mechanism across granularity levels to learn hierarchical features for remote sensing image classification.