Deconvolution Of Vnir Spectra Using Modified Gaussian Modeling (Mgm) With Automatic Parameter Initialization (Api) Applied To Crism
2009 FIRST WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING(2009)
Abstract
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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Key words
Curve fitting,Spectroscopy,Gaussian distributions,Remote Sensing
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