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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >A quantitative assessment of multiple scattering in plant-soil mixtures and the implications on nonlinear spectral unmixing models
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A quantitative assessment of multiple scattering in plant-soil mixtures and the implications on nonlinear spectral unmixing models

机译：植物-土壤混合物中多重散射的定量评估及其对非线性光谱解混模型的影响

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摘要

Bilinear Model (BM) is one of widely used nonlinear spectral unmixing methods, which are developed to deal with nonlinearity resulted from the multiple scattering within mixed pixels such as plant-soil mixtures. In the BM, products of endmember spectra are used to represent multiple scattering effect, and this approximation needs a validation. This study applies a Monte Carlo ray-tracing (MCRT) model to test this approximation by exploring the correlations between multiple scattering reflectances and endmember products. The correlations are found linear, proving the rationality of this approximation. Besides, the correlations between multiple scattering coefficients in the BM and vegetation characters are analyzed. Scattering coefficients are found to have quadratic relationships with vegetation coverage and linear relationships with crown height. The correlations can be used as constraints when solving the BM to retrieve the abundance of each component, to relieve the collinearity problem which impacts the solution precision.
机译：双线性模型（BM）是广泛使用的非线性光谱分解方法之一，其开发目的是处理混合像素（例如植物-土壤混合物）中多重散射导致的非线性。在BM中，端元光谱的乘积用于表示多重散射效应，这种近似需要验证。这项研究通过探索多重散射反射率与最终成员乘积之间的相关性，应用了蒙特卡洛射线追踪（MCRT）模型来测试这种近似。发现相关性是线性的，证明了这种近似的合理性。此外，分析了BM中多个散射系数与植被特征之间的相关性。发现散射系数与植被覆盖度呈二次关系，与树冠高度呈线性关系。在求解BM来检索每个分量的丰度时，可以将相关性用作约束条件，以缓解影响求解精度的共线性问题。

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