Two-Stage Hyperspectral Image Classification Using Few Labeled Samples-Reference-Cited by-同舟云学术

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Two-Stage Hyperspectral Image Classification Using Few Labeled Samples

Published:2023 Issue: Volume: Page:1-1
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zheng Chengyong¹^ORCID,Ye Zhijing²^ORCID,Cui Jing³,Peng Jiangtao⁴

Affiliation:

1. School of Mathematics and Computational Science, Wuyi University, Jiangmen, China

2. Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China

3. Guangdong Jiangmen Chinese Traditional Medicine College, Jiangmen, China

4. Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China

Funder

National Natural Science Foundation of China

Faculty Research Grants of the Macau University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/4357975/10042300.pdf?arnumber=10042300

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structural and Textural-Aware Feature Extraction for Hyperspectral Image Classification;IEEE Geoscience and Remote Sensing Letters;2024

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