Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3

Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3

Tropical cyclone (TC) detection is essential to mitigate natural disasters, as TCs can cause significant damage to life, infrastructure and economy. In this study, we applied the deep learning object detection model YOLOv3 to detect TCs in the North Atlantic Basin, using data from the Thermal InfraR...

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Bibliographic Details
Main Authors: Lisa Lam, Maya George, Sébastien Gardoll, Sarah Safieddine, Simon Whitburn, Cathy Clerbaux
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Atmosphere
Subjects:
tropical cyclone detection
machine learning
deep learning
convolutional neural networks
autoencoder
IASI
Online Access:https://www.mdpi.com/2073-4433/14/2/215

Internet

https://www.mdpi.com/2073-4433/14/2/215

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