DMANet_KF: Tropical Cyclone Intensity Estimation Based on Deep Learning and Kalman Filter From Multispectral Infrared Images

DMANet_KF: Tropical Cyclone Intensity Estimation Based on Deep Learning and Kalman Filter From Multispectral Infrared Images

It is very crucial to identify the intensity of tropical cyclone (TC) accurately. In this article, a novel TC intensity estimation method is proposed to estimate the TC intensity from multispectral infrared images in the Northwest Pacific Basin. A deep multisource attention network (DMANet) is propo...

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Bibliographic Details
Main Authors: Wenjun Jiang, Gang Hu, Tiantian Wu, Lingbo Liu, Bubryur Kim, Yiqing Xiao, Zhongdong Duan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
deep learning
intensity estimation
Kalman filter
tropical cyclone (TC)
Online Access:https://ieeexplore.ieee.org/document/10121612/

Internet

https://ieeexplore.ieee.org/document/10121612/

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