Complex multi-range aggregate spectral measurements for environmental objects: optimization and synthesis of measurement procedures

Abstract

The research aims at a synthesis of new complex procedures for multi-range aggregate spectral measurements of environmental objects, for which both the absorption spectrum and reflectivity spectrum are typical. As a basic research methodology, we have applied the vibrational optimization to calculate an optimal shape of introduced interconnections between main operational parameters of the measurement experiment. Authors have shown that, in considerations of absorption spectrum for the objects in question, we can estimate results of aggregate multispectral measurements with the new indicator of reliability, expressed by the signal-to-noise ratio at outputs of spectral channels in the multispectral meter. Having summed up the indicator values for each measuring spectral channel and replacing the objects that we are exploring with the hohlraum model described with the Planck function, we obtain the formula to find the best relationship between the standard means-square deviation of noises and model function. Based on the mentioned best relationship, we have found the best dependence of the standard means-square deviation of noises on the wavelength and absolute temperature. Authors have shown that in terms of the best mode and with certain values of the wavelength, the standard means-square deviation of noises might have the highest value, i. e., reliability of the measurement result will be the lowest in case of this wavelength. With regard to environmental objects that have the reflectivity spectrum, authors gave the general characteristics of aggregate two-wave measurements for chlorophyll of plants, described with mutually inverse spectral parameters. There is the estimate of the higher signal-to-noise ratio in terms of the mentioned type of aggregate two-wave measurements compared to single-wave ones. The authors have stated and solved the problem of the best choice of weight coefficients in terms of essential attenuations in measuring channels.