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An Estimation method of Vegetation Fraction by Using Unit Vectorized Reflectance and the Nonlinear Spectral Mixture Model

机译:基于单位矢量反射率和非线性光谱混合模型的植被分数估算方法

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The aim of this paper is to estimate the mixture ratios of the endmembers for the Landsat-7/ETM+ image in urban area. The number of the endmembers is two: "Vegetation" and "Non-vegetation". The Nonlinear Spectral Mixture Model (NSMM) had been proposed by Somers (2009). Second-order interaction (e.g. second reflections) between endmembers had been considered by the NSMM. On the other hand, Oyamada (2012) had proposed the topsoil ratio using the unit vectorized reflectance to reduce the difference of brightness (sunny or shade places). In this paper, we have analyzed if NSMM is represented as the influence of second reflections by using the unit vectorized reflectance, and also have analyzed the enhanced NSMM which we had proposed.
机译:本文的目的是估计城市地区Landsat-7 / ETM +图像末端成员的混合比率。最终成员的数量为两个:“植被”和“非植被”。非线性光谱混合模型(NSMM)由Somers(2009)提出。 NSMM已考虑了端构件之间的二阶相互作用(例如,第二反射)。另一方面,Oyamada(2012)提出了使用单位矢量化反射率的表土比,以减少亮度差异(晴天或阴暗处)。在本文中,我们通过使用单位矢量化反射率分析了NSMM是否表示为第二反射的影响,还分析了我们提出的增强型NSMM。

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