Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity

IF 7.5 1区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-18 DOI:10.1109/tgrs.2024.3501094

Younghyun Koo, Maryam Rahnemoonfar

引用次数: 0

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用于预测北极海冰浓度和速度的分层信息共享卷积神经网络

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理

CiteScore

11.50

自引率

28.00%

发文量

1912

审稿时长

4.0 months

期刊介绍： IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.