STUDY OF SATELLITE IMAGES OF UKRAINE BEFORE AND AFTER MASSIVE ATTACKS ON ENERGY INFRASTRUCTURE USING FRACTAL METHODS
DOI:
https://doi.org/10.34185/1991-7848.itmm.2023.01.080Keywords:
fractal, fractal dimension, fractal characteristics, self similarity, fractal segmentation, fractal distributions, distribution modes.Abstract
As world experience shows, Earth remote sensing data is increasingly being used to solve various problems. The wide application of remote sensing data is primarily due to the efficiency and visibility during the processing of data obtained from large areas. Space images from satellites in modern life have a high spatial resolution, which provides researchers and users with satisfactory initial data for solving various types of tasks. A promising direction for increasing the informativeness of space images is the use of fractal image analysis methods. The complexity of the forms of the understory surface and vegetation can be described using the fractal dimension. Characteristic values of the fractal dimension allow decoding of cosmic images. The purpose of the research is to develop a MATLAB software module that will analyze satellite images of the territory of Ukraine at different time intervals and examine their calculated fractal characteristics. Based on the received data, an analysis will be conducted and conclusions will be drawn. In the course of the research, it is necessary to determine the factors that affect the value of fractal characteristics.
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