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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Autors principals:	Zhitao Zhao, Zheng Zhang, Qiao Wang, Linli Cui, Ping Tang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Feature fusion intensity estimation time series transformer tropical cyclone (TC)
Accés en línia:	https://ieeexplore.ieee.org/document/10974485/
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