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A multivariate geostatistical approach for landscape classification from remotely sensed image data
(2015)
This paper proposes a methodology to address the classification of images that have been acquired from remote sensors. One common problem in classification is the high dimensionality of multivariate characteristics. The ...
Use Of Nir Hyperspectral Imaging And Multivariate Curve Resolution (mcr) For Detection And Quantification Of Adulterants In Milk Powder
(Elsevier Science BVAmsterdam, 2017)
Use Of Nir Hyperspectral Imaging And Multivariate Curve Resolution (mcr) For Detection And Quantification Of Adulterants In Milk Powder
(Elsevier Science BVAmsterdam, 2017)
Homogeneity study of ointment dosage forms by infrared imaging spectroscopy
(Elsevier Science BvAmsterdamHolanda, 2012)
A non-destructive digital imaging method to predict immobilized yeast-biomass
(ELSEVIER, 2009)
In food fermentation, many types of immobilization systems are used, such as hydrogel entrapment, where alginate is the main biopolymer. one of the important problems in industrial processes is the quantifications of ...
Application of digital images to determine color in honey samples from Argentina
(Elsevier Science, 2015-01)
Honey color is the first quality attribute evaluated by consumers and is an important sensory property in the beekeeping market. The most commonly used method for color determination is based on optical comparison, employing ...
Analysis of video images from a gas-liquid transfer experiment: a comparison of PCA and PARAFAC for multivariate image analysis
(John Wiley & Sons LtdChichesterInglaterra, 2003)