Spectral and Spatial Global Context Attention for Hyperspectral Image Classification

Spectral and Spatial Global Context Attention for Hyperspectral Image Classification

Recently, hyperspectral image (HSI) classification has attracted increasing attention in the remote sensing field. Plenty of CNN-based methods with diverse attention mechanisms (AMs) have been proposed for HSI classification due to AMs being able to improve the quality of feature representations. Ho...

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Bibliographic Details
Main Authors: Zhongwei Li, Xingshuai Cui, Leiquan Wang, Hao Zhang, Xue Zhu, Yajing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
convolutional neural network
spectral-spatial network
channel global context attention
position global context attention
Online Access:https://www.mdpi.com/2072-4292/13/4/771

Internet

https://www.mdpi.com/2072-4292/13/4/771

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