Correction of Sea Surface Wind Speed Based on SAR Rainfall Grade Classification Using Convolutional Neural Network

Correction of Sea Surface Wind Speed Based on SAR Rainfall Grade Classification Using Convolutional Neural Network

The technology of retrieving sea surface wind field from spaceborne synthetic aperture radar (SAR) is increasingly mature. However, the retrieval of the sea surface wind field related to the precipitation effect is still facing challenges, especially the strong precipitation related to extreme weath...

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Bibliographic Details
Main Authors: Chaogang Guo, Weihua Ai, Xi Zhang, Yanan Guan, Yin Liu, Shensen Hu, Xianbin Zhao
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network
correction
inception v3
rainfall
synthetic aperture radar (SAR)
wind field
Online Access:https://ieeexplore.ieee.org/document/9963594/

Internet

https://ieeexplore.ieee.org/document/9963594/

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