Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification

Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification

Abstract Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical. While Convolutional Neural Networks (CNNs) and Transformers have shown strong capabilities...

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Bibliographic Details
Main Authors: Tahir Arshad, Bo peng, Ali Rahman, Rahim khan, Sajid Ullah khan, Sultan Alnazi, Nazik Alturki
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Attention module
Convolutional neural network
Hyperspectral image classification
Frequency domain
Vision transformer
Online Access:https://doi.org/10.1038/s41598-025-12489-3
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https://doi.org/10.1038/s41598-025-12489-3

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