Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples-Reference-Cited by-同舟云学术

Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhao Lin¹^ORCID,Luo Wenqiang¹^ORCID,Liao Qiming¹,Chen Siyuan¹^ORCID,Wu Jianhui¹^ORCID

Affiliation:

1. Hunan Engineering Technology Research Center for 3D Reconstruction and Intelligent Application, School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China

Funder

Scientific Research Fund of Hunan Provincial Education Department

Graduate Research and Innovation Project of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09734031.pdf?arnumber=9734031

Reference20 articles.

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4. Bootstrap your own latent: A new approach to self-supervised learning;grill;arXiv 2006 07733,2020

5. Siamese neural networks for one-shot image recognition;koch;Proc Deep Learn Workshop (ICML),2015

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