Ilkim Aydar

Transformer-Based Hyperspectral Image Classification with Spectral Embedding and Permutation-Invariant Neighborhood-Set Attention

Direct adoption of generic vision-transformer tokenization is often inefficient for hyperspectral image (HSI) classification because the data are high-dimensional, spectrally redundant, spatially structured, and label-scarce. This paper presents a multi-benchmark empirical study built on two ideas: linear spectral embe...