Effective Surface Roughness in Radar Ocean Backscattering

In this paper, we proposed a modulated correlation function to characterize the multiscale property of the sea surface and adopted it in the AIEM (Advanced Integral Equation Model) to calculate the radar backscattering. Comparisons of NRBCS (Normalized Radar Backscattering Cross Section) with GMFs (...

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Published in:IEEE transactions on geoscience and remote sensing Vol. 61; p. 1
Main Authors: Guo, Mingde, Chen, Kun-Shan, Yang, Ying, Xu, Zhen
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Accuracy
AIEM
Backscatter
Backscattering
C band
Correlation
Correlation analysis
Effective correlation length
Integral equations
Model accuracy
Modulation
multiscale rough surface
Radar
radar backscattering
Radar cross sections
Radar measurement
Rough surfaces
Scattering cross sections
Sea surface
Surface roughness
Surface waves
Vectors
Wind
Wind vectors
ISSN:0196-2892, 1558-0644
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Abstract In this paper, we proposed a modulated correlation function to characterize the multiscale property of the sea surface and adopted it in the AIEM (Advanced Integral Equation Model) to calculate the radar backscattering. Comparisons of NRBCS (Normalized Radar Backscattering Cross Section) with GMFs (Geophysical Model Functions) 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 C-band. The effective correlation lengths determined from the modulated correlation function show strong wind dependence, besides the incident angle and frequency in the context of radar backscattering.
AbstractList In this paper, we proposed a modulated correlation function to characterize the multiscale property of the sea surface and adopted it in the AIEM (Advanced Integral Equation Model) to calculate the radar backscattering. Comparisons of NRBCS (Normalized Radar Backscattering Cross Section) with GMFs (Geophysical Model Functions) 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 C-band. The effective correlation lengths determined from the modulated correlation function show strong wind dependence, besides the incident angle and frequency in the context of radar backscattering.
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.
Author Chen, Kun-Shan
Xu, Zhen
Yang, Ying
Guo, Mingde
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SubjectTerms Accuracy
AIEM
Backscatter
Backscattering
C band
Correlation
Correlation analysis
Effective correlation length
Integral equations
Model accuracy
Modulation
multiscale rough surface
Radar
radar backscattering
Radar cross sections
Radar measurement
Rough surfaces
Scattering cross sections
Sea surface
Surface roughness
Surface waves
Vectors
Wind
Wind vectors
Title Effective Surface Roughness in Radar Ocean Backscattering
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