{"title":"基于二维图像的改进时变性随机目标速度估计","authors":"B. Pachedjieva, P. E. Pavlova","doi":"10.1109/ET50336.2020.9238177","DOIUrl":null,"url":null,"abstract":"The time mutability method allows estimation of drift velocity of stochastic objects basing on sequences of their images. A procedure for constructing and selecting rotational radial-sections from two-dimensional images through which a velocity field can be constructed is proposed. The constructed sections are applied to determine the velocity field of a cloud field based on a series of its two-dimensional images. Numerical examples, illustrated by graphic material, have been shown.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic objects velocity estimation using Modified Time Mutability Method, based on two-dimensional images\",\"authors\":\"B. Pachedjieva, P. E. Pavlova\",\"doi\":\"10.1109/ET50336.2020.9238177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The time mutability method allows estimation of drift velocity of stochastic objects basing on sequences of their images. A procedure for constructing and selecting rotational radial-sections from two-dimensional images through which a velocity field can be constructed is proposed. The constructed sections are applied to determine the velocity field of a cloud field based on a series of its two-dimensional images. Numerical examples, illustrated by graphic material, have been shown.\",\"PeriodicalId\":178356,\"journal\":{\"name\":\"2020 XXIX International Scientific Conference Electronics (ET)\",\"volume\":\"163 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 XXIX International Scientific Conference Electronics (ET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ET50336.2020.9238177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XXIX International Scientific Conference Electronics (ET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ET50336.2020.9238177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic objects velocity estimation using Modified Time Mutability Method, based on two-dimensional images
The time mutability method allows estimation of drift velocity of stochastic objects basing on sequences of their images. A procedure for constructing and selecting rotational radial-sections from two-dimensional images through which a velocity field can be constructed is proposed. The constructed sections are applied to determine the velocity field of a cloud field based on a series of its two-dimensional images. Numerical examples, illustrated by graphic material, have been shown.
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