Near-Infrared Hyperspectral Classification of Waste Textiles Using Complementary Spectral Representations and a Convolution-Enhanced Patch Transformer
High-value recycling of waste textiles requires accurate fiber-composition identification, yet similar blends often exhibit overlapping near-infrared absorption bands and substantial within-class variation. Using 291 waste-textile swatches, this study develops ConvPatchTST, a convolution-enhanced Patch Transformer that...