Labyrinth models for remote sensing application

M. Kazaryan; A. Rihter; E. Semenishchev

doi:10.1117/12.3024951

20 June 2024 Labyrinth models for remote sensing application

M. Kazaryan, A. Rihter, E. Semenishchev

Proceedings Volume 12999, Optical Sensing and Detection VIII; 1299937 (2024) https://doi.org/10.1117/12.3024951
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

M. Kazaryan, A. Rihter, and E. Semenishchev "Labyrinth models for remote sensing application", Proc. SPIE 12999, Optical Sensing and Detection VIII, 1299937 (20 June 2024); https://doi.org/10.1117/12.3024951

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