https://oldena.lpnu.ua/handle/ntb/52431| Title: | Method for Determining the Rational Time Intervals for Detecting Objects by Thermal Imager |
| Authors: | Korobchynskyi, Maksym Mariliv, Alexander Slonov, Mihail Mieshkov, Serhii |
| Affiliation: | Military-Diplomatic Academy named after Eugene Bereznyak |
| Bibliographic description (Ukraine): | Method 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). |
| Bibliographic description (International): | Method 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). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | object environment thermal image time of day |
| Number of pages: | 4 |
| Page range: | 494-497 |
| Start page: | 494 |
| End page: | 497 |
| Abstract: | The 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/52431 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| References (Ukraine): | [1] A. Lukov, The theory of thermal conductivity, Moscow, Vischaya Shkola, 1967. [2] V. Lykanin, Heat engineering, Moscow, Vischaya Shkola, 2000. [3] A. Dumnich, Thermal conductivity, Donetsk, DNU, 2003. [4] J. Lloyd, “Systems of thermal insulation”, Moscow, Мir, pp. 13–231, 1978. [5] G. Gossorg, “Infrared thermography. Fundamentals, technique, application”, Moscow, Мir, pp. 21–51, 1988. [6] А. Givichin, and V. Sokolov, Deciphering of images, Moscow, Nedra, 1980. [7] Yu. Rebryn, “Infrared icons systems”, Kiev, KVVAIU, pp. 3–18, 1985. [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. [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. [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. [11] H. Gunzler, IR Spectroscopy, Weinheim, Germany, Wiley-VCH, 2002. [12] M. J. Riedl, Optical Design Fundamentals for Infrared Systems, Washington, USA, SPIE Press, 2001. |
| References (International): | [1] A. Lukov, The theory of thermal conductivity, Moscow, Vischaya Shkola, 1967. [2] V. Lykanin, Heat engineering, Moscow, Vischaya Shkola, 2000. [3] A. Dumnich, Thermal conductivity, Donetsk, DNU, 2003. [4] J. Lloyd, "Systems of thermal insulation", Moscow, Mir, pp. 13–231, 1978. [5] G. Gossorg, "Infrared thermography. Fundamentals, technique, application", Moscow, Mir, pp. 21–51, 1988. [6] A. Givichin, and V. Sokolov, Deciphering of images, Moscow, Nedra, 1980. [7] Yu. Rebryn, "Infrared icons systems", Kiev, KVVAIU, pp. 3–18, 1985. [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. [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. [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. [11] H. Gunzler, IR Spectroscopy, Weinheim, Germany, Wiley-VCH, 2002. [12] M. J. Riedl, Optical Design Fundamentals for Infrared Systems, Washington, USA, SPIE Press, 2001. |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Korobchynskyi_M-Method_for_Determining_494-497.pdf | 405.45 kB | Adobe PDF | View/Open | |
| 2018_Korobchynskyi_M-Method_for_Determining_494-497__COVER.png | 545.29 kB | image/png | View/Open |
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