FADC-Net: Frequency-Aware Adaptive Dilation Convolution Network With Spatial-Spectral Enhancement for Hyperspectral Image Classification

Accurate hyperspectral image (HSI) classification requires jointly modeling fine-grained spatial textures, dense spectral signatures, and frequency cues, yet most existing approaches still rely on static frequency processing and fixed receptive fields, which limits their adaptability across scenes....

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Autor principal:	Yufan Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Hyperspectral image classification deep learning frequency-aware learning adaptive dilation convolution spatial-spectral feature extraction Fourier transform
Accés en línia:	https://ieeexplore.ieee.org/document/11471755/
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