… combination algorithms were introduced to process the spectra and select sensitive spectral
… method and explore the prediction potential of the optimal band combination algorithm. Two …

… Moreover, the prediction maps offered a novel way for visualizing the gradient of Pseudomonas
… Detrend was also combined with SNV and MSC for pretreatment of spectral images. …

… to predict VTC and TCD using the entire spectral range and the feature wavelengths. The
optimal combination … In this study, the combination of 1st Der with SNV, and 2nd Der combined …

… a meaningful spectrum of each component with no priori spectral … This article summarizes
some representative spectral … This review strives to introduce the combination of spectral …

… Based on the quantitative analysis results of this study, combining the spectral and color
features extracted from the hyperspectral images to predict the TAC and RSC obtained similar …

… spectral features to predict chemical composition in lamb meat. ► We develop and optimize
multivariate prediction … needs a combination of multivariate analysis and visualization tools …

… validation and prediction visualization. With the characteristics of acquiring spatial and spectral
… Owing to the characteristics of combining spectral and imaging information of HSI, it was …

… -mean-square error of prediction (RMSEP) were used to evaluate the visualization results. …
the percentage of the adulteration by combining visualization with the pixel discrimination in …

… selected from the full-band SNV spectra and the full-band MSC spectra to predict the
amylopectin and the amylose, respectively, by the combination of PLS β-coefficients and stepwise …

… that combining spectral and texture data to predict Ala and Arg values might be better than
only spectral data. In this study, the integration of texture parameter and spectral features had …