Improved Transformer Network Based on Multiscale Grouping Feature Fusion for Hyperspectral Image Classification

In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing Transformer-based models exhibit several limitations, including insufficient capability in modeling local spectral stru...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Lin Wei, Yuhang Liu, Yuping Yin, Yanning E., Jinlong Gu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Feature fusion hyperspectral image (HSI) classification multiscale grouped weight attention (MGWA) vision transformer (ViT)
Online-Zugang:	https://ieeexplore.ieee.org/document/11119789/
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