Selecting a representative training set for the classi®cation of demolition waste using remote NIR sensing


In the AUTOSORT project, the goal is the separation of demolition waste in three fractions: wood, plastics and stone. A remote near-infrared sensor measures reduced re ̄ectance spectra (mini-spectra) of objects. Linear discriminant analysis (LDA) is used for the classi®cation of these spectra. To obtain the LDA model, a representative training set is needed… (More)


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