B. Kostrov, A. Kolesenkov, E. Ruchkina, V. Ruchkin, D. Grigorenko
{"title":"Algorithms of aerospace photo processing in a quasi-two-dimensional non-trygonometrical spectral space","authors":"B. Kostrov, A. Kolesenkov, E. Ruchkina, V. Ruchkin, D. Grigorenko","doi":"10.1109/ICMSC.2017.7959491","DOIUrl":null,"url":null,"abstract":"The paper employs theoretic and methodological generalization in order to develop new algorithms of orthogonal transformation in the field of aerospace photo processing. Employing systems of Vilenkin-Chrestenson functions (VCF) in a non-trigonometrical space, we obtain a minimally possible shape of their construction. The paper describes algorithms and filtration samples (quasi-two- dimensional filtering and correlation analysis of aerospace photos when applied to distortions and image noise.","PeriodicalId":356055,"journal":{"name":"2017 International Conference on Mechanical, System and Control Engineering (ICMSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Mechanical, System and Control Engineering (ICMSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSC.2017.7959491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper employs theoretic and methodological generalization in order to develop new algorithms of orthogonal transformation in the field of aerospace photo processing. Employing systems of Vilenkin-Chrestenson functions (VCF) in a non-trigonometrical space, we obtain a minimally possible shape of their construction. The paper describes algorithms and filtration samples (quasi-two- dimensional filtering and correlation analysis of aerospace photos when applied to distortions and image noise.
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