A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data
This paper proposes a complete framework of a machine learning-based model that detects convective initiation (CI) from geostationary meteorological satellite data. The suggested framework consists of three main processes: (1) An automated sampling tool; (2) machine learning-based CI detection model...
Main Authors: | Daehyeon Han, Juhyun Lee, Jungho Im, Seongmun Sim, Sanggyun Lee, Hyangsun Han |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/12/1454 |
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