Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data

Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data

For a long time, researchers have tried to find a way to analyze tropical cyclone (TC) intensity in real-time. Since there is no standardized method for estimating TC intensity and the most widely used method is a manual algorithm using satellite-based cloud images, there is a bias that varies depen...

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Bibliographic Details
Main Authors: Juhyun Lee, Jungho Im, Dong-Hyun Cha, Haemi Park, Seongmun Sim
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Remote Sensing
Subjects:
tropical cyclones
multispectral imaging
2d/3d convolutional neural networks
Online Access:https://www.mdpi.com/2072-4292/12/1/108

Internet

https://www.mdpi.com/2072-4292/12/1/108

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