水稻极化散射分解研究

J. Susaki, Y. Kawatani
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引用次数: 1

摘要

本文报道了目标形状的概率分布对四分量分解结果的影响。四分量分解方法将极化微波数据分解为表面散射、双弹跳散射、体积散射和螺旋散射四个分量。在本研究之前,对水稻的三维结构进行了测量和建模。利用该模型计算了任意天顶和方位角视点下水稻叶片的概率密度函数。利用该概率密度函数,建立了水稻体积散射的协方差矩阵。将该协方差矩阵嵌入到四分量分解中,并将其应用于2007年9月25日至26日在新泻大学的消声无线电波室中测量的水稻偏振x波段散射数据。结果表明,与标准四组分分析法相比,本文提出的四组分分解法产生的体积散射更多,表面散射更少。结果表明,应考虑目标形状的概率分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposition of Polarimetirc Scattering of Paddy Rice
This paper reports the effects of the probability distribution of the target shape to the results of four-component decomposition. The four-component decomposition method decomposes polarimetric microwave data into four components, i.e. surface scattering, double bounce scattering, volume scattering and helix scattering. Prior to the present research, three dimensional structure of the rice was measured and modeled. The model was used to calculate the probability density function of the rice leaves at a viewpoint of arbitrary zenith and azimuth angles. With this probability density function, a covariance matrix of volume scattering for the rice was developed. This covariance matrix was embedded in the four-component decomposition, and it was applied for the polarimetric X-band scattering data of rice, measured in an anechoic radio wave chamber in Niigata Univ. during September 25 to 26, 2007. It was found that the proposed four-component decomposition produced more volume scattering and less surface scattering than the results produced by the standard four-component analysis. As a result, it is concluded that the probability distribution to the target shape should be considered.
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