首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >GEOPHYSICAL PARAMETER RETRIEVAL FOR MICROWAVE C BAND SYNTHETIC APERTURE RADAR (SAR) DATASET USING INTEGRAL EQUATION MODEL
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GEOPHYSICAL PARAMETER RETRIEVAL FOR MICROWAVE C BAND SYNTHETIC APERTURE RADAR (SAR) DATASET USING INTEGRAL EQUATION MODEL

机译:积分方程模型的微波C波段合成孔径雷达(SAR)数据集地球物理参数反演

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摘要

The microwave remote sensing is highly useful, as it provides synoptic observation of the Earth’s surface or planetary bodies, regardless of day or night and the atmospheric conditions, propagation through ionosphere with minimum loss. One of the best microwave technology for imaging system is the Synthetic Aperture Radar (SAR) remote sensing. The microwave SAR currently represents the best approach for obtaining spatially distributed geophysical parameter present on the Earth’s surface or planetary bodies. In the present work, geophysical parameters viz., Soil Moisture, Surface Roughness, Dielectric Constant (ε) and Backscattering Coefficients (σsup0/sup) will be retrieved. The modelling makes the process of estimating information beyond the real observation range for data interpretation. In the present paper most widely used modelling techniques for the microwave SAR dataset is an Integral Equation Model (IEM) which is implemented for above said geophysical parameters retrieval. The aim of the present work is to estimate accurate, reliable and skillful measurements of geophysical parameters from the microwave SAR dataset. In the present study microwave C band SAR dataset is used. The overall processing was done by using PolSARPro Ver. 5.0 software. In the present work, geophysical parameters are measured with the help IEM modelling, the statistical parameter and occurrence plane, estimated from the microwave SAR image, which was very helpful for retrieving geophysical parameters. From the overall paper work, it was concluded that the IEM modelling is a one of the realistic modelling methods for retrieving geophysical parameters for microwave C band SAR dataset.
机译:微波遥感非常有用,因为它提供了对地球表面或行星体的概要观测,而无论白天或黑夜以及大气条件如何,它都以最小的损耗通过电离层传播。合成孔径雷达(SAR)遥感是用于成像系统的最佳微波技术之一。微波SAR目前是获取存在于地球表面或行星体上的空间分布地球物理参数的最佳方法。在本工作中,将检索地球物理参数,即土壤湿度,表面粗糙度,介电常数(ε)和反向散射系数(σ 0 )。建模使估计信息的过程超出了用于数据解释的实际观察范围。在本文中,微波SAR数据集使用最广泛的建模技术是积分方程模型(IEM),该模型用于上述地球物理参数的检索。本工作的目的是从微波SAR数据集中估算准确,可靠和熟练的地球物理参数测量值。在本研究中,使用了微波C波段SAR数据集。整体处理通过使用PolSARPro Ver.2完成。 5.0软件。在目前的工作中,借助IEM建模,从微波SAR图像估算出的统计参数和发生面来测量地球物理参数,这对检索地球物理参数非常有帮助。从总体工作中可以得出结论,IEM建模是一种用于检索微波C波段SAR数据集的地球物理参数的现实建模方法之一。

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