INVESTIGATION OF COMPARATIVE CHARACTERISTICS OF SPECTRAL PROPERTIES OF RASTER IMAGES

Abstract

One of the modules of the mobile system designed for video surveillance of heat-generating ground objects, designed for placement on unmanned aerial vehicles (UAVs), is considered. The educational research project described by the authors is developed by using the method of the project interfaces, designed in Gorno-Altaisk State University as a one of the implementations of the classical project approach to the educational process. The purpose of the work is to describe the frequency analysis project module and study the spectral characteristics of raster images obtained with thermal imaging cameras. The software solutions are carried out by using the high-level programming language Python. For program experiments the authors apply a two-dimensional discrete Fourier transforms fft2 and ifft2, implemented to the NumPy module of the Python language. Some of the interesting features investigated by the researches have already been noted in the special literature, but some of them the authors of the work meet for the first time.