Hyperspectral Image Classification Based on 3-D Multihead Self-Attention Spectral–Spatial Feature Fusion Network

Hyperspectral Image Classification Based on 3-D Multihead Self-Attention Spectral–Spatial Feature Fusion Network

Convolutional neural networks are a popular method in hyperspectral image classification. However, the accuracy of the models is closely related to the number and spatial size of training samples. Which relieve the performance decline by the number and spatial size of training samples, we designed a...

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Bibliographic Details
Main Authors: Qigao Zhou, Shuai Zhou, Feng Shen, Juan Yin, Dingjie Xu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
hyperspectral image classification
multihead self-attention
multiscale convolution
Online Access:https://ieeexplore.ieee.org/document/9982422/

Internet

https://ieeexplore.ieee.org/document/9982422/

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