Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification

Author:

Li Zhaokui¹^ORCID,Xu Qiang¹,Ma Li²,Fang Zhuoqun³^ORCID,Wang Yan¹,He Wenqiang¹,Du Qian⁴^ORCID

Affiliation:

1. School of Computer Science, Shenyang Aerospace University, Shenyang, China

2. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China

3. College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China

4. Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA

Funder

National Natural Science Foundation of China

Applied Basic Research Project of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference57 articles.

1. Correcting sample selection bias by unlabeled data;huang;Proc Adv Neural Inf Process Syst,2006

4. Rethinking the value of labels for improving classimbalanced learning;yang;Proc Adv Neural Inf Process Syst,2020

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