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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Yun Zhang, Xu Chen, Wanting Meng, Jiwei Yin, Yanling Han, Zhonghua Hong, Shuhu Yang
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
SVM
DDM
Q
Accès en ligne:https://doaj.org/article/46ffa8db561a4de489bd8a383ab32b6f
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!