Mathematical Methods in Geoinformatics

dc.contributor.author	Mironova Y.N.
dc.date.accessioned	2021-02-25T06:55:04Z
dc.date.available	2021-02-25T06:55:04Z
dc.date.issued	2020
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161510
dc.description.abstract	© 2020 IEEE. this paper discusses current issues of applying new mathematical methods for clustering, which is necessary in modeling and visualization of data in geographic information systems. For this purpose, it is proposed to use the methods of traditional General topology and fuzzy sets. Real phenomena are described by many interrelated attributes. The ways of such interaction are unpredictable, so there is a need to apply the concept of fuzziness to the received information in solving problems of classification of geoinformation objects, in particular, aerospace images.
dc.subject	classification
dc.subject	display
dc.subject	fuzzy set
dc.subject	prototype
dc.subject	recognition
dc.subject	star
dc.subject	tube
dc.title	Mathematical Methods in Geoinformatics
dc.type	Conference Paper
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS-2020-SID85098913662

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.