A U-Shaped Convolution-Aided Transformer with Double Attention for Hyperspectral Image Classification

A U-Shaped Convolution-Aided Transformer with Double Attention for Hyperspectral Image Classification

Convolutional neural networks (CNNs) and transformers have achieved great success in hyperspectral image (HSI) classification. However, CNNs are inefficient in establishing long-range dependencies, and transformers may overlook some local information. To overcome these limitations, we propose a U-sh...

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Main Authors: Ruiru Qin, Chuanzhi Wang, Yongmei Wu, Huafei Du, Mingyun Lv
格式: 文件
语言:English
出版: MDPI AG 2024-01-01
丛编:Remote Sensing
主题:
convolutional neural networks
transformers
hyperspectral image classification
spectral attention
spatial attention
在线阅读:https://www.mdpi.com/2072-4292/16/2/288

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https://www.mdpi.com/2072-4292/16/2/288

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