Convolution-Transformer Adaptive Fusion Network for Hyperspectral Image Classification

Convolution-Transformer Adaptive Fusion Network for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is an important but challenging topic in the field of remote sensing and earth observation. By coupling the advantages of convolutional neural network (CNN) and Transformer model, the CNN–Transformer hybrid model can extract local and global features simultan...

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Bibliographic Details
Main Authors: Jiaju Li, Hanfa Xing, Zurui Ao, Hefeng Wang, Wenkai Liu, Anbing Zhang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
deep learning
hyperspectral image classification
convolutional neural networks
transformer
hybrid strategy
feature fusion
Online Access:https://www.mdpi.com/2076-3417/13/1/492

Internet

https://www.mdpi.com/2076-3417/13/1/492

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