Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data

Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data

In view of the difficulty of wind direction retrieval in the case of the large space and time span of the global sea surface, a method of sea surface wind direction retrieval using a support vector machine (SVM) is proposed. This paper uses the space-borne global navigation satellite systems reflect...

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Bibliographic Details
Main Authors: Yun Zhang, Xu Chen, Wanting Meng, Jiwei Yin, Yanling Han, Zhonghua Hong, Shuhu Yang
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
GNSS-R
wind direction
CYGNSS
SVM
DDM
Science
Q
Online Access:https://doaj.org/article/46ffa8db561a4de489bd8a383ab32b6f
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https://doaj.org/article/46ffa8db561a4de489bd8a383ab32b6f

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