A Dual Multi-Head Contextual Attention Network for Hyperspectral Image Classification

A Dual Multi-Head Contextual Attention Network for Hyperspectral Image Classification

To learn discriminative features, hyperspectral image (HSI), containing 3-D cube data, is a preferable means of capturing multi-head self-attention from both spatial and spectral domains if the burden in model optimization and computation is low. In this paper, we design a dual multi-head contextual...

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Bibliographic Details
Main Authors: Miaomiao Liang, Qinghua He, Xiangchun Yu, Huai Wang, Zhe Meng, Licheng Jiao
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
dual attention
contextual keys
grouping perception
multi-head self-attention
Online Access:https://www.mdpi.com/2072-4292/14/13/3091

Internet

https://www.mdpi.com/2072-4292/14/13/3091

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