NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification-Reference-Cited by-同舟云学术

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification

Published:2022 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Su Yuanchao¹^ORCID,Gao Lianru²^ORCID,Jiang Mengying³^ORCID,Plaza Antonio⁴^ORCID,Sun Xu²^ORCID,Zhang Bing⁵^ORCID

Affiliation:

1. Department of Remote Sensing, College of Geomatics, Xi’an University of Science and Technology, Xi’an, China

2. Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China

3. School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China

4. Department of Technology of Computers and Communications, Escuela Politécnica, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain

5. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

European Union’s Horizon Research

Scientific Research Program of the Education Department of Shaanxi Province

Scientific Research Foundation of Xi’an University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09954181.pdf?arnumber=9954181

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