Hyperspectral Image Classification Based on Double-Hop Graph Attention Multiview Fusion Network

Hyperspectral Image Classification Based on Double-Hop Graph Attention Multiview Fusion Network

Hyperspectral image (HSI) is pivotal in ground object classification, owing to its rich spatial and spectral information. Recently, convolutional neural networks and graph neural networks have become hotspots in HSI classification. Although various methods have been developed, the problem of detail...

Full description

Saved in:
Bibliographic Details
Main Authors: Ying Cui, Li Luo, Lu Wang, Liwei Chen, Shan Gao, Chunhui Zhao, Cheng Tang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
convolutional neural network (CNN)
graph attention network (GAN)
graph attention network (GAT)
hyperspectral image (HSI) classification
multiview fusion
Online Access:https://ieeexplore.ieee.org/document/10735087/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10735087/

Similar Items