TFA-Net: A Temporal Feature Aggregation Framework for Tropical Cyclone Intensity Estimation From Satellite Images

TFA-Net: A Temporal Feature Aggregation Framework for Tropical Cyclone Intensity Estimation From Satellite Images

Deep learning models have significantly advanced tropical cyclone (TC) intensity estimation from satellite images. While the potential of temporal information for improving TC intensity prediction is recognized, existing methods have not fully leveraged this aspect. To address this, we propose TFA-N...

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Bibliographic Details
Main Authors: Zhitao Zhao, Zheng Zhang, Qiao Wang, Linli Cui, Ping Tang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Feature fusion
intensity estimation
time series
transformer
tropical cyclone (TC)
Online Access:https://ieeexplore.ieee.org/document/10974485/
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https://ieeexplore.ieee.org/document/10974485/

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