EXPERIMENTAL STUDIES OF THE EFFECTIVENESS OF MATERIAL CLASSIFICATION BY REFLECTION SPECTRA
S. M. Borzov, E. S. Nejevenko, S. I. Orlov, O. I. Potaturkin, S. B. Uzilov
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: object detection, reflection spectra, spectral channels, vegetation indices, classification methods and algorithms, image processing
Abstract
The work is devoted to the experimental study of the effectiveness of methods of classification of green vegetation and camouflage materials according to their spectral characteristics. The studies are performed using real spectral data obtained on a multichannel spectrograph based on a dispersing element and a multi-element CCD ruler 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 indices 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 and anthropogenic vegetation. It is experimentally shown that both two-channel and three-channel indices can be used as informative features in the classification of objects.
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