**3. Methods for the Methodology of the Selection of Lossy Compression Algorithms by Set of Qualitative Parameters**

We apply the framework of multi-criteria decision-making for the evaluation of lossy compression algorithms. The problem formulation in the MCDM context is formalized by constructing the decision matrix. This matrix is defined by the criteria, placed in rows, and the alternatives are placed in columns. The first step in the selection of lossy compression algorithms is the definition of the set of qualitative parameters. The content change of the reconstructed aerial image after compression depends on the compression algorithm, compression ratio, image resolution, and image content itself. Image content is presented by pixel values, and after lossy compression, these values of the reconstructed image are altered. Herewith, the visual appearance of the features, like a forest, cropland, roads, buildings, water, is changing too. In this work, visual features are characterized by generalizations like texture, color tone, and luminance.
