Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification

Published:2022 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Yang Yuqun¹,Tang Xu¹^ORCID,Zhang Xiangrong¹^ORCID,Ma Jingjing¹,Liu Fang²,Jia Xiuping³^ORCID,Jiao Licheng¹^ORCID

Affiliation:

1. School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China

2. School of Computer Science and Engineering, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China

3. School of Engineering and Information Technology, University of New South Wales at Canberra, Canberra, ACT, Australia

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi

Natural Science Basic Research Program of Shaanxi

Fund of National Key Laboratory of Science and Technology on Remote Sensing Information and Imagery Analysis, Beijing Research Institute of Uranium Geology

Open Research Fund in 2021 of Jiangsu Key Laboratory of Spectral Imaging Intelligent Sense

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09927317.pdf?arnumber=9927317

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