Automatic Aurora Image Classification Framework Based on Deep Learning for Occurrence Distribution Analysis: A Case Study of All‐Sky Image Data Sets From the Yellow River Station-Reference-Cited by-同舟云学术

Automatic Aurora Image Classification Framework Based on Deep Learning for Occurrence Distribution Analysis: A Case Study of All‐Sky Image Data Sets From the Yellow River Station

Published:2020-08-27 Issue:9 Volume:125 Page:
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Zhong Yanfei¹²^ORCID,Ye Richen¹^ORCID,Liu Tingting³,Hu Zejun⁴^ORCID,Zhang Liangpei¹

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University Wuhan China

2. Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring Wuhan University Wuhan China

3. Chinese Antarctic Center of Surveying and Mapping Wuhan University Wuhan China

4. SOA Key Laboratory for Polar Science Polar Research Institute of China Shanghai China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JA027590

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