HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification

Published:2022 Issue: Volume:15 Page:6053-6068
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

He Ziping¹^ORCID,Xia Kewen¹^ORCID,Ghamisi Pedram²^ORCID,Hu Yuhen³^ORCID,Fan Shurui¹^ORCID,Zu Baokai⁴

Affiliation:

1. School of Electronics and Information Engineering, Hebei University of Technology, Tianjin, China

2. Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany

3. Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA

4. Faculty of Information Technology, Beijing University of Technology, Beijing, China

Funder

National Scholarship for Building High Level Universities

China Scholarship Council

National Natural Science Foundation of China

Hebei Province Natural Science Foundation

Key Research and Development Project from Hebei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference59 articles.

1. TransGAN: Two pure transformers can make one strong GAN, and that can scale up;jiang;Adv Neural Inf Process Syst,2021

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