Effective Surface Roughness in Radar Ocean Backscattering

被引:4
|
作者
Guo, Mingde [1 ,2 ]
Chen, Kun-Shan [3 ]
Yang, Ying [4 ]
Xu, Zhen [5 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
[3] Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin 541004, Peoples R China
[4] Nanjing Univ Sci & Technol, Sch Microelect, Nanjing 210094, Peoples R China
[5] Shantou Univ, Dept Elect & Informat Engn, Shantou 515063, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2023年 / 61卷
基金
中国国家自然科学基金;
关键词
Advanced integral equation model (AIEM); effective correlation length; multiscale rough surface; radar backscattering; SEA-SURFACE; MODEL FUNCTION; WAVE SPECTRA; SCATTERING; EMISSION; COEFFICIENT; SLOPE; BANDS;
D O I
10.1109/TGRS.2023.3306464
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 article, we proposed a modulated correlation function (MCF) to characterize the multiscale property of the sea surface and adopted it in the advanced integral equation model (AIEM) to calculate the radar backscattering. Comparisons of normalized radar backscattering cross section (NRBCS) with geophysical model functions (GMFs) predictions and radar measurements are conducted in various wind conditions. Good consistency and accuracy confirm the proposed model's accuracy and applicability in predicting radar backscattering. In addition, the relations between two modulation parameters and wind vectors are analyzed at the C-band. The effective correlation lengths determined from the MCF show strong wind dependence, besides the incident angle and frequency in the context of radar backscattering.
引用
收藏
页数:13
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