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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52431
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dc.contributor.authorKorobchynskyi, Maksym
dc.contributor.authorMariliv, Alexander
dc.contributor.authorSlonov, Mihail
dc.contributor.authorMieshkov, Serhii
dc.coverage.temporal21-25 August 2018, Lviv
dc.date.accessioned2020-06-19T12:04:25Z-
dc.date.available2020-06-19T12:04:25Z-
dc.date.created2018-02-28
dc.date.issued2018-02-28
dc.identifier.citationMethod for Determining the Rational Time Intervals for Detecting Objects by Thermal Imager / Maksym Korobchynskyi, Alexander Mariliv, Mihail Slonov, Serhii Mieshkov // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 494–497. — (Machine Vision and Pattern Recognition).
dc.identifier.isbn© Національний університет „Львівська політехніка“, 2018
dc.identifier.isbn© Національний університет „Львівська політехніка“, 2018
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52431-
dc.description.abstractThe developed method allows to provide the maximum possible distance of the thermal imaging observation by determining the rational time intervals of a day when the thermal contrast between object and background is maximal. The method takes into account the influence of cyclic heat transfer in the environment on the change in the recognition properties of the thermal image during the day. This method allows determining the time intervals of the day when the quality of the thermal image will be maximal or minimal.
dc.format.extent494-497
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofData stream mining and processing : proceedings of the IEEE second international conference, 2018
dc.subjectobject
dc.subjectenvironment
dc.subjectthermal image
dc.subjecttime of day
dc.titleMethod for Determining the Rational Time Intervals for Detecting Objects by Thermal Imager
dc.typeConference Abstract
dc.rights.holder© Національний університет “Львівська політехніка”, 2018
dc.contributor.affiliationMilitary-Diplomatic Academy named after Eugene Bereznyak
dc.format.pages4
dc.identifier.citationenMethod for Determining the Rational Time Intervals for Detecting Objects by Thermal Imager / Maksym Korobchynskyi, Alexander Mariliv, Mihail Slonov, Serhii Mieshkov // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 494–497. — (Machine Vision and Pattern Recognition).
dc.relation.references[1] A. Lukov, The theory of thermal conductivity, Moscow, Vischaya Shkola, 1967.
dc.relation.references[2] V. Lykanin, Heat engineering, Moscow, Vischaya Shkola, 2000.
dc.relation.references[3] A. Dumnich, Thermal conductivity, Donetsk, DNU, 2003.
dc.relation.references[4] J. Lloyd, “Systems of thermal insulation”, Moscow, Мir, pp. 13–231, 1978.
dc.relation.references[5] G. Gossorg, “Infrared thermography. Fundamentals, technique, application”, Moscow, Мir, pp. 21–51, 1988.
dc.relation.references[6] А. Givichin, and V. Sokolov, Deciphering of images, Moscow, Nedra, 1980.
dc.relation.references[7] Yu. Rebryn, “Infrared icons systems”, Kiev, KVVAIU, pp. 3–18, 1985.
dc.relation.references[8] M. Dmitriev, O. Panchenko, O. Derkachov, and I. Rutcovska, “Definition of regional condition at the airfield surface” Kiev, VNAU. no. 1, pp. 161–164, 2008.
dc.relation.references[9] V. Kaplan, “Experimental studies of the radiation contrasts of military personnel in the middle and far infrared ranges of the electromagnetic spectrum”, Kazan, Applied physics, no. 5, pp. 108–113, 2006.
dc.relation.references[10] M. V. Korobchinskiy, M .U. Slonov, and A. A. Mariliv, “Mathematic model of forecasting daily cycle temperature changes of agricultural lands”, Kiev, Artificial Intelegence, no. 72, pp. 124–132, 2016.
dc.relation.references[11] H. Gunzler, IR Spectroscopy, Weinheim, Germany, Wiley-VCH, 2002.
dc.relation.references[12] M. J. Riedl, Optical Design Fundamentals for Infrared Systems, Washington, USA, SPIE Press, 2001.
dc.relation.referencesen[1] A. Lukov, The theory of thermal conductivity, Moscow, Vischaya Shkola, 1967.
dc.relation.referencesen[2] V. Lykanin, Heat engineering, Moscow, Vischaya Shkola, 2000.
dc.relation.referencesen[3] A. Dumnich, Thermal conductivity, Donetsk, DNU, 2003.
dc.relation.referencesen[4] J. Lloyd, "Systems of thermal insulation", Moscow, Mir, pp. 13–231, 1978.
dc.relation.referencesen[5] G. Gossorg, "Infrared thermography. Fundamentals, technique, application", Moscow, Mir, pp. 21–51, 1988.
dc.relation.referencesen[6] A. Givichin, and V. Sokolov, Deciphering of images, Moscow, Nedra, 1980.
dc.relation.referencesen[7] Yu. Rebryn, "Infrared icons systems", Kiev, KVVAIU, pp. 3–18, 1985.
dc.relation.referencesen[8] M. Dmitriev, O. Panchenko, O. Derkachov, and I. Rutcovska, "Definition of regional condition at the airfield surface" Kiev, VNAU. no. 1, pp. 161–164, 2008.
dc.relation.referencesen[9] V. Kaplan, "Experimental studies of the radiation contrasts of military personnel in the middle and far infrared ranges of the electromagnetic spectrum", Kazan, Applied physics, no. 5, pp. 108–113, 2006.
dc.relation.referencesen[10] M. V. Korobchinskiy, M .U. Slonov, and A. A. Mariliv, "Mathematic model of forecasting daily cycle temperature changes of agricultural lands", Kiev, Artificial Intelegence, no. 72, pp. 124–132, 2016.
dc.relation.referencesen[11] H. Gunzler, IR Spectroscopy, Weinheim, Germany, Wiley-VCH, 2002.
dc.relation.referencesen[12] M. J. Riedl, Optical Design Fundamentals for Infrared Systems, Washington, USA, SPIE Press, 2001.
dc.citation.conferenceIEEE second international conference "Data stream mining and processing"
dc.citation.spage494
dc.citation.epage497
dc.coverage.placenameЛьвів
Appears in Collections:Data stream mining and processing : proceedings of the IEEE second international conference

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