应用于CRISM的改进高斯模型(MGM)和自动参数初始化(API)对近红外光谱进行反卷积

H. D. Makarewicz, M. Parente, J. Bishop
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引用次数: 13

摘要

在实验室和野外实验中,反射光谱学是测定矿物学的有力工具。一些研究表明,可以将反射光谱建模为修正高斯函数和连续体的和,称为修正高斯模型(MGM)。在本研究中,提出了一种MGM的自动参数初始化(API)方法,该方法仅基于所建模的频谱。API确定要建模的高斯数及其初始参数估计。具有API的MGM已通过人工、实验室和CRISM光谱进行了测试。初步结果表明,该方法在多种矿物光谱上是成功的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deconvolution of VNIR spectra using modified Gaussian modeling (MGM) with automatic parameter initialization (API) applied to CRISM
Reflectance spectroscopy is a powerful tool for determining mineralogy in both laboratory and field experiments. Several studies indicate that reflectance spectra can be modeled as a sum of modified Gaussian functions and a continuum, which is called the modified Gaussian model (MGM). In this study, a method for automatic parameter initialization (API) for the MGM is proposed that is based solely on the spectrum being modeled. The API determines the number of Gaussians to model and their initial parameter estimates. The MGM with API has been tested with artificial, laboratory, and CRISM spectra. Initial results indicate that the method is successful on a variety of mineral spectra.
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