Attention-based multiscale deep learning with unsampled pixel utilization for hyperspectral image classification

Attention-based multiscale deep learning with unsampled pixel utilization for hyperspectral image classification

In this research, a deep learning approach for hyperspectral image (HSI) classification was developed, incorporating attention mechanisms, multiscale feature learning, and utilization of unsampled pixels. The proposed model, multiscale attention-based hybrid spectral network and UNet (MSA-HybridSN-U...

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Bibliographic Details
Main Authors: Mohammed Ahmed AL-Kubaisi, Helmi Z. M. Shafri, Mohd Hasmadi Ismail, Mohd Johari Mohd Yusof, Shaiful Jahari bin Hashim
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
attention mechanisms
multiscale convolutional neural networks
unsampled pixel utilization
deep learning
hyperspectral image classification
Online Access:http://dx.doi.org/10.1080/10106049.2023.2231428

Internet

http://dx.doi.org/10.1080/10106049.2023.2231428

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