A Spectra-Analysis-Based Algorithm for Wind Speed Estimation From X-Band Nautical Radar Images

被引:14
|
作者
Huang, Weimin [1 ]
Wang, Yali [1 ]
机构
[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Rain-contaminated images; wind speed; X-band marine radar; BACKSCATTER; RETRIEVAL; SEA;
D O I
10.1109/LGRS.2016.2539099
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this letter, a new method for estimating wind speeds from X-band nautical radar images is presented. Wind speeds are determined from the wavenumber spectra of radar backscatter using a logarithmic relationship between the spectral strength and the wind speed. The method can be applied to both rain-contaminated and rain-free radar data. The method has been tested using shipborne X-band nautical data collected over the North Atlantic Ocean. A comparison with the anemometer data shows that the root mean square errors of wind speeds estimated from rain-contaminated radar data using the proposed method and that by Lund et al. are 1.6 and 7.5 m/s, respectively. The wind speed estimation accuracy is improved by 5.9 m/s with the new method.
引用
收藏
页码:701 / 705
页数:5
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