Description: Only the integration of images taken from different media can satisfy all the requirements for input data when decoding. However, when creating a synthesized image, there are a number of negative effects that need to be further processed by the image to eliminate them. In addition, to automatically detect weak contrast and masked objects and determine the dynamics of the scene, which uses colored characters, it is necessary to produce multiple images to the same tone saturation. There is a need to determine the factors that affect the tone and the color saturation of the image. Thus, the purpose of the paper is to create a method of tone and color correction of images to automate the process of processing them. The article analyzes the main factors influencing the color characteristics of the received images, among which the indicatrix of reflection, the conditions of illumination, spectral and radiometric sensitivity of the shooting apparatus are considered. It was found that the tonal saturation of objects in the picture depends not only on the season, but also on the relative location of the sun and shooting equipment, the shooting facilities and their humidity. Based on the research conducted, it can be concluded that tone correction is possible only for objects with the same optical characteristics. That is, first of all, it is necessary to stage the construction of a segment card, and the definition of identical zones. And then it is possible to enter corrective values using the color space of the HSV. Moving from the color space RGB to the color space HSV will eliminate the distortion of color transfer. Correction by the value of H compensates for the discrepancy between the spectral and radiometric characteristics of the shooting apparatus, and the correction for the value V is the illumination condition. Thus, the use of the results of the research will avoid the effect of mosaic on the synthesized image or automate the process of determining changes in the observation area using the color parameter vector. In addition, the introduction of the proposed method will reduce the time for decoding aerospace images.
Keywords: optoelectronic systems, synthesized images, aerospace images, tonal saturation, brightness, optical characteristics of the objects survey, characteristics of the filming equipment