Comparative analysis of algorithms for detecting structural changes in images
Algorithms are considered that solve the problem of detecting structural changes in multitemporal satellite images of the Earth’s surface. A computational method is formulated for comparing such algorithms; to this end, a special mathematical model of structural changes is introduced that allows one...
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| Vydáno v: | Pattern recognition and image analysis Ročník 25; číslo 4; s. 593 - 602 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Moscow
Pleiades Publishing
01.10.2015
Springer Nature B.V |
| Témata: | |
| ISSN: | 1054-6618, 1555-6212 |
| On-line přístup: | Získat plný text |
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| Abstract | Algorithms are considered that solve the problem of detecting structural changes in multitemporal satellite images of the Earth’s surface. A computational method is formulated for comparing such algorithms; to this end, a special mathematical model of structural changes is introduced that allows one to maximally approximate an experiment to real problems. Optimal parameters of operation of the algorithms are determined by this method, and the results of comparison of the performance of the algorithms are presented. Experiments on real data show that the algorithms proposed are suitable for practical application. |
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| AbstractList | Algorithms are considered that solve the problem of detecting structural changes in multitemporal satellite images of the Earth's surface. A computational method is formulated for comparing such algorithms; to this end, a special mathematical model of structural changes is introduced that allows one to maximally approximate an experiment to real problems. Optimal parameters of operation of the algorithms are determined by this method, and the results of comparison of the performance of the algorithms are presented. Experiments on real data show that the algorithms proposed are suitable for practical application. |
| Author | Kornilov, F. A. |
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| DOI | 10.1134/S1054661815040124 |
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| Keywords | image processing mathematical morphology structural changes comparison of algorithms Markov random fields |
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| References | LiS. Z.Markov Random Field Modeling in Image Analysis200931183.68691 KornilovF. A.Algorithm for searching structural differences for imagesTr. Inst. Mat. Ural Branch RAS2013191144159 Supercomputer Center Uran of Krasovskii Institute of Mathematics and Mechanics. http://parallel.uran.ru GonzalezR. C.WoodsR. E.Digital Image Processing1992 KornilovF. A.PerevalovD. S.A problem for recognizing structural differences for imagesAlgorithms and Software for Parallel Calculations. Collection of Scientific Papers20113756 AivazyanS. A.MkhitaryanV. S.Applied Statistics and Foundations of Econometrics1998MoscowYuniti GreenD. M.SwetsJ. M.Signal Detection Theory and Psychophysics1966New YorkJohn Wiley and Sons BoreskovA. V.Parallel Calculations with GPU. Architectural and Software Model CUDA2012 KostousovV. B.PerevalovD. S.Problems on recognizing and localizing objects in imagesProc. Int. Conf. “Algorithmial Analysis of Nonstable Problems”2008YekaterinburgKrasovskii Institute of Mathematics and Mechanics136137 WinklerG.Image Analysis, Random Fields, and Dynamic Monte Carlo Methods: A Mathematical Introduction (Applications of Mathematics)1994 KornilovF. A.Algorithm for searching structural difference by using Markov random fieldsProc. Int. (43rd Russian) Youth School-Conf. Modern Problems in Mathematics2012YekaterinburgKrasovskii Institute of Mathematics and Mechanics311313 Pyt’evYu. P.ChulichkovA. I.Morphological Analysis for Images2010MoscowFizmatlit KandobaI. N.KostrousovV. B.PerevalovD. S.The way to create mathematical methods, parallel algorithms and software for solving pattern analysis problems and control problems in the systems of highaccurate navigation and guidance for moving objectsProc. 13th All-Russian Conf. “Mathematical Methods for Pattern Recognition” (ÌÌÐR–13)2007335337 List of foreign geoinformation systems. http://en.wikipedia.org/wiki/List_of_geographic_information_syste ms_software KornilovF. A.PerevalovD. S.The way to use the regularizing morphological projector for the problems on searching the structural differencesProc. Sci.Tech. Conf. “Technical Vision in Control Systems-2012”2012265271 OriginPro 8.0. http://www.originlab.com A. V. Boreskov (4620_CR5) 2012 I. N. Kandoba (4620_CR8) 2007 F. A. Kornilov (4620_CR11) 2011 D. M. Green (4620_CR1) 1966 S. Z. Li (4620_CR2) 2009 4620_CR15 4620_CR16 S. A. Aivazyan (4620_CR4) 1998 4620_CR3 V. B. Kostousov (4620_CR13) 2008 Yu. P. Pyt’ev (4620_CR14) 2010 R. C. Gonzalez (4620_CR7) 1992 F. A. Kornilov (4620_CR10) 2013; 19 G. Winkler (4620_CR6) 1994 F. A. Kornilov (4620_CR9) 2012 F. A. Kornilov (4620_CR12) 2012 |
| References_xml | – reference: Supercomputer Center Uran of Krasovskii Institute of Mathematics and Mechanics. http://parallel.uran.ru/ – reference: BoreskovA. V.Parallel Calculations with GPU. Architectural and Software Model CUDA2012 – reference: LiS. Z.Markov Random Field Modeling in Image Analysis200931183.68691 – reference: OriginPro 8.0. http://www.originlab.com/ – reference: KornilovF. A.Algorithm for searching structural difference by using Markov random fieldsProc. Int. (43rd Russian) Youth School-Conf. Modern Problems in Mathematics2012YekaterinburgKrasovskii Institute of Mathematics and Mechanics311313 – reference: List of foreign geoinformation systems. http://en.wikipedia.org/wiki/List_of_geographic_information_syste ms_software – reference: AivazyanS. A.MkhitaryanV. S.Applied Statistics and Foundations of Econometrics1998MoscowYuniti – reference: GreenD. M.SwetsJ. M.Signal Detection Theory and Psychophysics1966New YorkJohn Wiley and Sons – reference: GonzalezR. C.WoodsR. E.Digital Image Processing1992 – reference: KandobaI. N.KostrousovV. B.PerevalovD. S.The way to create mathematical methods, parallel algorithms and software for solving pattern analysis problems and control problems in the systems of highaccurate navigation and guidance for moving objectsProc. 13th All-Russian Conf. “Mathematical Methods for Pattern Recognition” (ÌÌÐR–13)2007335337 – reference: WinklerG.Image Analysis, Random Fields, and Dynamic Monte Carlo Methods: A Mathematical Introduction (Applications of Mathematics)1994 – reference: KornilovF. A.Algorithm for searching structural differences for imagesTr. Inst. Mat. Ural Branch RAS2013191144159 – reference: Pyt’evYu. P.ChulichkovA. I.Morphological Analysis for Images2010MoscowFizmatlit – reference: KornilovF. A.PerevalovD. S.The way to use the regularizing morphological projector for the problems on searching the structural differencesProc. Sci.Tech. Conf. “Technical Vision in Control Systems-2012”2012265271 – reference: KornilovF. A.PerevalovD. S.A problem for recognizing structural differences for imagesAlgorithms and Software for Parallel Calculations. Collection of Scientific Papers20113756 – reference: KostousovV. B.PerevalovD. S.Problems on recognizing and localizing objects in imagesProc. Int. Conf. “Algorithmial Analysis of Nonstable Problems”2008YekaterinburgKrasovskii Institute of Mathematics and Mechanics136137 – volume-title: Digital Image Processing year: 1992 ident: 4620_CR7 – start-page: 136 volume-title: Proc. Int. Conf. “Algorithmial Analysis of Nonstable Problems” year: 2008 ident: 4620_CR13 – volume-title: Parallel Calculations with GPU. Architectural and Software Model CUDA year: 2012 ident: 4620_CR5 – start-page: 265 volume-title: Proc. Sci.Tech. Conf. “Technical Vision in Control Systems-2012” year: 2012 ident: 4620_CR12 – volume-title: Signal Detection Theory and Psychophysics year: 1966 ident: 4620_CR1 – volume-title: Morphological Analysis for Images year: 2010 ident: 4620_CR14 – ident: 4620_CR15 – ident: 4620_CR16 – volume-title: Image Analysis, Random Fields, and Dynamic Monte Carlo Methods: A Mathematical Introduction (Applications of Mathematics) year: 1994 ident: 4620_CR6 – volume: 19 start-page: 144 issue: 1 year: 2013 ident: 4620_CR10 publication-title: Tr. Inst. Mat. Ural Branch RAS – volume-title: Markov Random Field Modeling in Image Analysis year: 2009 ident: 4620_CR2 – start-page: 311 volume-title: Proc. Int. (43rd Russian) Youth School-Conf. Modern Problems in Mathematics year: 2012 ident: 4620_CR9 – start-page: 335 volume-title: Proc. 13th All-Russian Conf. “Mathematical Methods for Pattern Recognition” (ÌÌÐR–13) year: 2007 ident: 4620_CR8 – ident: 4620_CR3 – volume-title: Applied Statistics and Foundations of Econometrics year: 1998 ident: 4620_CR4 – start-page: 37 volume-title: Algorithms and Software for Parallel Calculations. Collection of Scientific Papers year: 2011 ident: 4620_CR11 |
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| SubjectTerms | Algorithms Analysis and Understanding of Images Comparative analysis Computer Science Data compression Image Processing and Computer Vision Image processing systems Mathematical models Morphology Pattern Recognition Processing Representation Studies |
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| Title | Comparative analysis of algorithms for detecting structural changes in images |
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