Cross-Dataset Band Selection and Model Generalization for Hyperspectral Plastic Classification
Hyperspectral imaging enhances plastic classification, requiring robust bands and models across sensors, scenes, and acquisition conditions to enable scalable monitoring. However, most studies rely on single datasets or controlled conditions, and band-selection methods and classifiers often fail to generalize across he...