Lithological Classification by Hyperspectral Remote Sensing Images Based on Double-Branch Multiscale Dual-Attention Network

Lithological Classification by Hyperspectral Remote Sensing Images Based on Double-Branch Multiscale Dual-Attention Network

Although many scholars have realized that deep learning methods have great advantages in hyperspectral lithology classification now, most of them use simple convolutional neural networks for discussion, which are difficult to effectively extract spectral sequence information from hyperspectral image...

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Bibliographic Details
Main Authors: Hanhu Liu, Heng Zhang, Ronghao Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
dual-attention mechanism
hyperspectral image (HSI)
lithology classification
multiscale features
Online Access:https://ieeexplore.ieee.org/document/10646515/

Internet

https://ieeexplore.ieee.org/document/10646515/

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