Multiscale Dual-Branch Residual Spectral–Spatial Network With Attention for Hyperspectral Image Classification

Multiscale Dual-Branch Residual Spectral–Spatial Network With Attention for Hyperspectral Image Classification

The development of remote sensing images in recent years has made it possible to identify materials in inaccessible environments and study natural materials on a large scale. But hyperspectral images (HSIs) are a rich source of information with their unique features in various applications. However,...

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Bibliographic Details
Main Authors: Saeed Ghaderizadeh, Dariush Abbasi-Moghadam, Alireza Sharifi, Aqil Tariq, Shujing Qin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism (AM)
convolutional neural network (CNN)
hyperspectral image (HSI)
spectral–spatial features principal component analysis (PCA)
Online Access:https://ieeexplore.ieee.org/document/9815590/

Internet

https://ieeexplore.ieee.org/document/9815590/

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