Abstract. A method for identifying weak optical as well as electrical and acoustic signals from biological objects on a known background in a multispectral analysis is proposed. The method is based on the use of normalized calibrated background spectra and possible objects and using the orthogonalization procedure, under which the orthogonal projection module is determined to the background and object vectors in the extended multidimensional space. For a correct hypothesis of an object, this module must have a minimum value among the possible ones. Mathematical modeling on the example of optical signals from the aerodrome near Moscow, obtained by a hyperspectral receiver, showed a good recognition of all four objects under consideration with a background fraction in the mixture up to 85-95%.
Key words:
orthogonal projection, variability,
extended multidimensional space.
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