Semi-empirical calibration of the integral equation model for co-polarized L-band backscattering

N. Baghdadi, M. Zribi, S. Paloscia, N. Verhoest, H. Lievens, F. Baup, F. Mattia
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引用次数: 44

Abstract

The objective of this paper is to extend the semi-empirical calibration of the backscattering Integral Equation Model (IEM) initially proposed for SAR data at C- and X-bands to SAR data at L band. A large dataset of radar signal and in situ measurements (soil moisture and surface roughness) over bare soil surfaces were used. A semi-empirical calibration of the IEM was performed at L band in replacing the correlation length derived from field experiments by a fitting parameter. Better agreement was observed between the backscattering coefficient provided by the SAR and that simulated by the calibrated version of the IEM.
共极化l波段后向散射积分方程模型的半经验定标
本文的目的是将最初提出的针对C波段和x波段SAR数据的后向散射积分方程模型(IEM)的半经验定标推广到L波段SAR数据。使用了大量雷达信号数据集和裸地土壤表面的现场测量数据(土壤湿度和表面粗糙度)。用拟合参数代替现场实验得到的相关长度,在L波段进行了IEM的半经验定标。SAR提供的后向散射系数与IEM标定版模拟的后向散射系数吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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