2022
DOI: 10.32362/2500-316x-2022-10-2-51-58
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Semantics of visual models in space research

Abstract: Objectives. The aim of the study is to develop a methodology for assessing the semantics of weakly structured or morphologically complex visual information models. In order to achieve the goal, a criterion for classifying visual models as complex and an algorithm for obtaining a gradient image with several levels of density were introduced. The gradient image is not binary, thus increasing the reliability of finding boundaries or contours. An auxiliary structural visual model was introduced, and a series of im… Show more

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Cited by 3 publications
(1 citation statement)
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“…The novelty of this work lies in the use of the original methodology for selecting visualization models proposed in the framework of this paper, including those being rare in practice, as well as in a comprehensive study of alternative ways of representing various data structures that are used in information technologies for visualization analysis tasks. In addition, the elements of the novelty include a high degree of heterogeneity of the data structure visualization models studied, which were not presented in previously published works in a comprehensive manner as visualization means and methods [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…The novelty of this work lies in the use of the original methodology for selecting visualization models proposed in the framework of this paper, including those being rare in practice, as well as in a comprehensive study of alternative ways of representing various data structures that are used in information technologies for visualization analysis tasks. In addition, the elements of the novelty include a high degree of heterogeneity of the data structure visualization models studied, which were not presented in previously published works in a comprehensive manner as visualization means and methods [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%