Dual-Branch Attention Convolution Spectral–Spatial Feature Extraction Networks for Hyperspectral Image Classification

Dual-Branch Attention Convolution Spectral–Spatial Feature Extraction Networks for Hyperspectral Image Classification

The attention-based dual-branch network demonstrates significant potential in hyperspectral image (HSI) classification. However, the existing dual-branch approaches still face two crucial issues that hinder the further performance promotion of HSI classification: 1) The static convolution in feature...

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Bibliographic Details
Main Authors: Genyun Sun, Cheng Jing, Aizhu Zhang, Xiaolin Chen, Hang Fu, Zhaojie Pan, Ji Cheng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention convolution spectral–spatial attention
deep learning (DL)
hyperspectral image (HSI) classification
Online Access:https://ieeexplore.ieee.org/document/11048514/
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