首页> 外文会议>Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International >Thickness retrieval using time series electromagnetic measurements of laboratory grown saline ice
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Thickness retrieval using time series electromagnetic measurements of laboratory grown saline ice

机译:使用实验室生长的盐冰的时间序列电磁测量进行厚度检索

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An electromagnetic inverse scattering theory using time-series measured data has been developed to retrieve the thickness of sea ice. The approach is based on a parametric estimation algorithm where the radiative transfer equation is used as the direct scattering model to calculate backscattering signatures from sea ice. The Levenberg-Marquardt optimization method is used as the inversion algorithm to retrieve the sea ice parameters iteratively. Additional information provided by the sea ice thermodynamics is applied to constrain the electromagnetic inverse problem to achieve more accurate reconstruction. This inversion algorithm is illustrated with experimental data from a thin saline ice sheet grown in a cold room at the U.S. Cold Regions Research and Engineering Laboratory in 1993. Based on this inversion method, the evolution of ice thickness is accurately reconstructed.
机译:已经开发了使用时间序列测量数据的电磁逆散射理论来检索海冰的厚度。该方法基于参数估计算法,其中将辐射传递方程用作直接散射模型,以计算海冰的反向散射特征。 Levenberg-Marquardt优化方法用作反演算法,以迭代方式检索海冰参数。应用海冰热力学提供的其他信息来约束电磁逆问题,以实现更准确的重构。该反演算法以1993年美国寒冷地区研究与工程实验室冷室中生长的稀薄盐水冰盖的实验数据为例进行说明。基于这种反演方法,可以准确地重建冰厚度的演变。

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