A method of retrieving significant wave height based on shadowing from X-band marine radar images

被引:2
|
作者
Wei, Yanbo [1 ]
Song, Huili [2 ]
Lei, Yifei [1 ]
Liu, Kailun [2 ]
Lu, Zhizhong [2 ]
机构
[1] Luoyang Normal Univ, Coll Phys & Elect Informat, Luoyang, Peoples R China
[2] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, 145 Nantong St, Harbin 150001, Peoples R China
关键词
Radar image; Smith fitting function (SFF); illumination probability; wave steepness; Significant wave height (SWH); ALGORITHM; SEA; PARAMETERS;
D O I
10.1080/01431161.2023.2244643
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this paper, the shadow statistical method, which has the merit of without calibration, is further investigated for retrieving significant wave height (SWH) based on shadowing from X-band marine radar images. For the shadow statistical method, the Smith fitting function (SFF) is utilized to fit the illumination probability obtained from the radar image and calculate the SWH. By deeply investigating the estimation of wave steepness from the shadow image, it is found that the analytic solution of wave steepness is not obtained, due to the complementary error function and exponential term in the SFF. Meanwhile, several screening processes of gradually discarding illumination probability are required to obtain accurate root mean square (RMS) wave steepness, which makes the calculation time-consuming. To solve these problems, both the complementary error function and exponential term in the SFF are approximated under the working conditions of marine radar in practice, and the analytic solution of the wave steepness is described with the illumination probability. The shore-based X-band radar images at Pingtan station from November 9 to 17, 2014 are collected to validate the validity of the proposed method. By using 254 sets of radar data with the SWH range of 0.5 similar to 3.5 m, the experimental results demonstrate that the correlation coefficient (CC) of the estimated SWH between the proposed method and the traditional method is 0.996, and the root mean square error (RMSE) is 0.034. The average running time is significantly reduced from 2.76 s to 0.44 s.
引用
收藏
页码:5259 / 5282
页数:24
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