Multi-Scale Residual Spectral–Spatial Attention Combined with Improved Transformer for Hyperspectral Image Classification

Multi-Scale Residual Spectral–Spatial Attention Combined with Improved Transformer for Hyperspectral Image Classification

Aiming to solve the problems of different spectral bands and spatial pixels contributing differently to hyperspectral image (HSI) classification, and sparse connectivity restricting the convolutional neural network to a globally dependent capture, we propose a HSI classification model combined with...

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Bibliographic Details
Main Authors: Aili Wang, Kang Zhang, Haibin Wu, Yuji Iwahori, Haisong Chen
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
hyperspectral image classification
multi-scale feature extraction
residual spectral–spatial attention
transformer
Online Access:https://www.mdpi.com/2079-9292/13/6/1061

Internet

https://www.mdpi.com/2079-9292/13/6/1061

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