Application-Dedicated Selection of Filters (ADSF) using covariance maximization and orthogonal projection

Abstract

Visible and near-infrared (Vis-NIR) spectra are generated by the combination of numerous low resolution features. Spectral variables are thus highly correlated, which can cause problems for selecting the most appropriate ones for a given application. Some decomposition bases such as Fourier or wavelet generally help highlighting spectral features that are important, but are by nature constraint to have both positive and negative components. Thus, in addition to complicating the selected features interpretability, it impedes their use for application-dedicated sensors.In this paper we have proposed a new method for feature selection: Application-Dedicated Selection of Filters (ADSF). This met..