Experimental Study of the Effectiveness of Material Classification by Reflection Spectra

The work is an experimental study of the effectiveness of classification methods for green vegetation and camouflage materials by their spectral characteristics. The studies were performed using real spectral data obtained on a multichannel spectrograph based on a dispersing element and a multielement CCD array in the visible and near-infrared wavelength range. A technique is proposed for processing a set of spectral data in order to form a representative system of features and subsequent application of adaptive threshold algorithms for detecting objects. The effectiveness of using vegetation indexes calculated for spectral channels with different widths and at different positions of the central wavelength as signs for classifying types of materials is investigated. Special attention is paid to the detection of differences between fresh vegetation and anthropogenic effects. It has been experimentally shown that both two-channel and three-channel indexes can be used as informative features in the classification of objects.