PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences-Reference-Cited by-同舟云学术

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PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences

Published:2023-11 Issue: Volume:126 Page:106920
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Kim Mingyu^ORCID,Lee Jaekyeong,Choi Leechan,Choi Minjoo^ORCID

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference41 articles.

1. Banach wasserstein gan. Advances in neural information processing systems;Adler,2018

2. Machine Learning for Precipitation Nowcasting from Radar Images;Agrawal,2019

3. GAN augmentation to deal with imbalance in imaging-based intrusion detection;Andresini;Future Generat. Comput. Syst.,2021

4. GAN-based data augmentation and anonymization for skin-lesion analysis: a critical review;Bissoto,2021

5. Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1. Boulder, Colorado USA;Cavalieri,1996

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