Classification of Weather Phenomenon From Images by Using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

Classification of Weather Phenomenon From Images by Using Deep Convolutional Neural Network

Published:2021-05 Issue:5 Volume:8 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth Space Sci

Author:

Xiao Haixia¹²^ORCID,Zhang Feng²³^ORCID,Shen Zhongping⁴,Wu Kun⁵,Zhang Jinglin⁶^ORCID

Affiliation:

1. CMA Key Laboratory of Transportation Meteorology Nanjing Joint Institute for Atmospheric Sciences Nanjing China

2. Shanghai Qi Zhi Institute Shanghai China

3. Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences Fudan University Shanghai China

4. Shanghai Ecological Forecasting and Remote Sensing Center Shanghai China

5. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster Nanjing University of Information Science and Technology Nanjing China

6. School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020EA001604

Reference40 articles.

1. Cloud Classification of AVHRR Imagery in Maritime Regions Using a Probabilistic Neural Network

2. Weather Condition Dominates Regional PM2.5 Pollutions in the Eastern Coastal Provinces of China during Winter

3. CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation

4. Elhoseiny M. Huang S. &Elgammal A.(2015).Weather classification with deep convolutional neural networks. Paper presented atIEEE International Conference on Image Processing (ICIP)(pp.3349–3353).https://doi.org/10.1109/ICIP.2015.7351424

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