IEEE

Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification

Abstract: Traditional deep learning models for hyperspectral image (HSI) classification are limited by static activation functions and linear weights, hindering the extraction of complex features ...
IEEE

Hyperspectral Image Classification Based on Normalized Grouping Fused Comprehensive Relative Position Transformer Network

Abstract: In hyperspectral image (HSI) classification, Transformer and CNN are widely used because they complement each other in extracting features. Nevertheless, existing Transformer-based methods ...