Study on Sea Surface Wind Speed Retrieval Based on Support Vector Regression Machine Using Beidou Reflected Signals
Tu Manhong
Cao Yunchang
Kang Jinxia
Abstract：With the development of Global Navigation Satellite System,a marine remote techniquebased on Global Navigation Satellite System reflected signal (GNSS-R) has become a hotspot in remote sensing fields.This paper focuses on wind speed retrieval based on GNSS-R.Firstly,the relationship between sea surface wind speed and delay power of reflected signals is analyzed.Then this paper employs support vector regression machine (SVRM) to retrieve the wind speed,with the delay power of reflected signals being the training label.In the end,this paper emphasizes comparing the Beidou Satellite (BDS) reflected signals detected by ocean wind and wave system with the wind speed data from anemographare during the experiment in BDS reflected signal ocean remote sensing station of Shandong.It shows a good consistency,and the retrieval accuracy of sea surface wind speed is 2.4 m/s.It proves the feasibility on detecting wind speed through SVRM method using BDS reflected signal.
Keywords：Beidou reflected signalGlobal Navigation Satellite System reflected signal (GNSS-R)sea surface wind speedsupport vector regression machine (SVRM)
Publication Date：2017-04-02
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：6( 60-65 )