Raster masks (binary, object-by-object, or energy fields) of areas of interest are formed by identifying certain informative features in images. To ensure transparency in presenting these features, raster data is vectorized to obtain information in a readable form. Vectorization involves primary and secondary transformations. For two-dimensional images, the immediate change consists of getting points, sections, and polygons from pixels and raster areas of the “substrate”, and the secondary transformation consists of a series of morphological operations on it. A mathematical model of labyrinths (two-dimensional rectilinear), mathematical characteristics of labyrinths and a model of generation of labyrinths with given characteristics are presented. The types of labyrinths from the point of view of satellite monitoring and some examples of artificial and natural origin are given. The “labyrinth effect” for pedestrians and transport is noted, which arises during the restructuring of the territory using remote sensing.
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