Convective Cloud Detection From Himawari-8 Advanced Himawari Imager Data Using a Dual-Branch Deformable Convolutional Network-Reference-Cited by-同舟云学术

Convective Cloud Detection From Himawari-8 Advanced Himawari Imager Data Using a Dual-Branch Deformable Convolutional Network

Published:2024 Issue: Volume:17 Page:7490-7500
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:

Hang Renlong¹^ORCID,Wang Jingquan¹,Ge Lingling²,Shi Chunxiang²,Wei Jianfen³^ORCID

Affiliation:

1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

2. National Meteorological Information Center, Beijing, China

3. Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), Wuxi University, Wuxi, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10478145.pdf?arnumber=10478145

Reference42 articles.

1. Spatiotemporal Characteristics and Large-Scale Environments of Mesoscale Convective Systems East of the Rocky Mountains

2. Extreme Precipitation Events in Southeastern South America and Large-Scale Convective Patterns in the South Atlantic Convergence Zone

3. Combined Satellite- and Surface-Based Estimation of the Intracloud–Cloud-to-Ground Lightning Ratio over the Continental United States

4. Infectious diseases of severe weather-related and flood-related natural disasters

5. Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities

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