An algorithm for matching spatial objects of different-scale maps based on topological data analysis
Автор: Eremeev Sergey Vladimirovich, Andrianov Dmitry Evgenyevich, Titov Vitaliy Semenovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 6 т.43, 2019 года.
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A problem of automatic comparison of spatial objects on maps with different scales for the same locality is considered in the article. It is proposed that this problem should be solved using methods of topological data analysis. The initial data of the algorithm are spatial objects that can be obtained from maps with different scales and subjected to deformations and distortions. Persistent homology allows us to identify the general structure of such objects in the form of topological features. The main topological features in the study are the connectivity components and holes in objects. The paper gives a mathematical description of the persistent homology method for representing spatial objects. A definition of a barcode for spatial data, which contains a description of the object in the form of topological features is given. An algorithm for comparing feature barcodes was developed. It allows us to find the general structure of objects. The algorithm is based on the analysis of data from the barcode...
Persistent homology, barcode of spatial object, comparison of objects, analysis of topological features, multi-scale maps
Короткий адрес: https://sciup.org/140246527
IDR: 140246527 | DOI: 10.18287/2412-6179-2019-43-6-1021-1029