摘要
文章基于卫星微波数据与深度学习技术,提出了一种台风风速估计的方法。通过对卫星微波数据进行预处理和特征提取,建立基于深度学习的模型。实验结果表明,该方法能够实现对台风风速的精确估计,具有较高的准确性和稳定性。
This article proposes a method for estimating typhoon wind speed based on satellite microwave data and deep learning technology.A deep learning based model was established by preprocessing and feature extraction of satellite microwave data.The experimental results show that this method can achieve accurate estimation of typhoon wind speed,with high accuracy and stability.
作者
兰斌
LAN Bin(Shenzhen Branch of CNOOC Information Technology Co.,Ltd.,Shenzhen 518000,China)
出处
《数字通信世界》
2023年第11期154-155,159,共3页
Digital Communication World
关键词
卫星微波数据
深度学习
台风风速
卷积神经网络
satellite microwave data
deep learning
typhoon wind speed
convolutional neural network
