Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification

Published:2023-04 Issue:2 Volume:7 Page:610-616
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Wang Haoyu¹^ORCID,Cheng Yuhu¹^ORCID,Chen C. L. Philip²^ORCID,Wang Xuesong¹^ORCID

Affiliation:

1. Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China

2. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10081151/09835712.pdf?arnumber=9835712

Reference31 articles.

1. Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling

2. Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network

3. Hyperspectral Image Classification Based on Domain Adaptation Broad Learning

4. Hyperspectral Image Clustering Based on Unsupervised Broad Learning

5. On the Impact of PCA Dimension Reduction for Hyperspectral Detection of Difficult Targets

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