Deep hybrid: Multi-graph neural network collaboration for hyperspectral image classification

Author:

Yao DingORCID,Zhi-li ZhangORCID,Xiao-feng Zhao,Wei Cai,Fang HeORCID,Yao-ming Cai,Cai Wei-Wei

Publisher

Elsevier BV

Subject

Metals and Alloys,Mechanical Engineering,Ceramics and Composites,Computational Mechanics

Reference46 articles.

1. Topological structure and semantic information transfer network for cross-scene hyperspectral image classification;Zhang;IEEE Transact Neural Networks Learn Syst,2021

2. More diverse means better: multimodal deep learning meets remote-sensing imagery classification;Hong;IEEE Trans Geosci Rem Sens,2021

3. Graph sample and aggregate-attention network for hyperspectral image classification;Ding;Geosci Rem Sens Lett IEEE,2022

4. An augmented linear mixing model to address spectral variability for hyperspectral unmixing;Hong;IEEE Trans Image Process,2019

5. Graph convolutional subspace clustering: a robust subspace clustering framework for hyperspectral image;Cai;IEEE Trans Geosci Rem Sens,2021

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