Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification

Published:2023 Issue: Volume:61 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Fang¹^ORCID,Gao Wenfei¹^ORCID,Liu Jia¹^ORCID,Tang Xu²^ORCID,Xiao Liang¹^ORCID

Affiliation:

1. School of Computer Science and Engineering and the Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China

2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China

Funder

National Nature Science Foundations of China

Fundamental Research Funds for the Central Universities

Open Research Fund Program of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10268909.pdf?arnumber=10268909

Reference67 articles.

1. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification