Novel Land-Cover Classification Approach With Nonparametric Sample Augmentation for Hyperspectral Remote-Sensing Images-Reference-Cited by-同舟云学术

Novel Land-Cover Classification Approach With Nonparametric Sample Augmentation for Hyperspectral Remote-Sensing Images

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lv Zhiyong¹^ORCID,Zhang Pengfei¹,Sun Weiwei²^ORCID,Benediktsson Jón Atli³^ORCID,Lei Tao⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China

2. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China

3. Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland

4. Shaanxi Joint Laboratory of Artificial Intelligence, School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, China

Funder

Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Public Science and Technology Plan Projects of Ningbo City

Science and Technology Innovation 2025 Major Project of Ningbo City

“Pioneer” and “Leading Goose” Research and Development Projects of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10234432.pdf?arnumber=10234432

Reference53 articles.

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5. Empirical Rule of Fruit Rind Fragmentation in Muskmelon Netting

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