Global Cyclone and Anticyclone Detection Model Based on Remotely Sensed Wind Field and Deep Learning

Cyclone detection is a classical topic and researchers have developed various methods of cyclone detection based on sea-level pressure, cloud image, wind field, etc. In this article, a deep-learning algorithm is incorporated with modern remote-sensing technology and forms a global-scale cyclone/anti...

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Bibliographic Details
Main Authors: Ming Xie, Ying Li, Kai Cao
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/19/3111