Academic literature on the topic 'Optoelectronic surveillance system'
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Journal articles on the topic "Optoelectronic surveillance system"
BOROVYK, O., D. BOROVYK, and D. CIMBRIQUE. "SUMMARY REQUIRING REGARDLESS OF CREATION DECISION SUPPORT SYSTEM FOR THE DISTRIBUTION CAPABILITIES TO PROVIDE SUFFICIENT EFFICIENCY OF BORDER REGION OF SYSTEMS FOR OPTO-ELECTRONIC SURVEILLANCE." Computer Systems and Information Technologies 1, no. 1 (September 2, 2020): 81–90. http://dx.doi.org/10.31891/csit-2020-1-11.
Full textProtsenko, P. A., and R. V. Khubbiev. "Method for Estimating the Efficiency of Small Orbital Spacecraft Systems for Optoelectronic Surveillance." Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, no. 1 (130) (February 2020): 29–41. http://dx.doi.org/10.18698/0236-3941-2020-1-29-41.
Full textKuzmich, O., V. Kuznetsov, and M. Andrushko. "ANALYSIS OF APPLICATION OF CONTEMPORARY NIGHT VISION GOGGLES ON THE BASIS OF ELECTRONIC-OPTICAL CONVERTER BY THE HELICOPTER CREWS. PROSPECTIVE HELICOPTER OPTOELECTRONIC SYSTEMS OF AERIAL RECONNAISSANCE/SURVEILLANCE." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки, no. 5 (December 22, 2020): 50–55. http://dx.doi.org/10.37701/dndivsovt.5.2020.06.
Full textГулина, Ю. С., and В. Я. Колючкин. "Экспериментальные исследования модели зрительной системы человека." Журнал технической физики 127, no. 10 (2019): 622. http://dx.doi.org/10.21883/os.2019.10.48367.166-19.
Full textLobanova, Yu N., V. I. Lopin, and A. A. Rogozin. "Modeling the Process of Object Recognition on the Monitor Display of an Optoelectronic Surveillance System." Measurement Techniques 47, no. 2 (February 2004): 157–62. http://dx.doi.org/10.1023/b:mete.0000026214.45251.1b.
Full textIvashevsky, M. R. "VIDEO SURVEILLANCE SYSTEMS FOR RAILWAY TRANSPORT." World of Transport and Transportation 17, no. 5 (June 7, 2020): 298–314. http://dx.doi.org/10.30932/1992-3252-2019-17-5-298-314.
Full textMikhnionok, E. I. "METHOD OF IMAGE PROCESSING IN THE PROBLEM OF DETECTING MOVING OBJECTS IN OPTICAL-ELECTRONIC SURVEILLANCE SYSTEMS OF THERMAL IMAGING TYPE." Doklady BGUIR 18, no. 2 (March 31, 2020): 96–104. http://dx.doi.org/10.35596/1729-7648-2020-18-2-96-104.
Full textStukalov, S. B., D. S. Stukalov, V. I. Kondrikov, and R. S. Gavryushin. "Electrooptical complex for terrain on-time survey." Civil Aviation High Technologies 22, no. 5 (October 28, 2019): 107–16. http://dx.doi.org/10.26467/2079-0619-2019-22-5-107-116.
Full textNikitchenko, V., S. Gordeev, S. Kaletnik, and O. Butenko. "SYSTEM OF PERSON’S VISUAL PERCEPTION AS AN OBJECT OF IMPACT BY LIGHT EMISSION." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки, no. 8 (June 29, 2021): 91–100. http://dx.doi.org/10.37701/dndivsovt.8.2021.10.
Full textBEZVESILNA, O., M. ILCHENKO, and S. KOTLIAR. "CLASSIFICATION OF AUTOMATED STABILIZATION INSTRUMENT COMPLEXES." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 295, no. 2 (May 2021): 172–75. http://dx.doi.org/10.31891/2307-5732-2021-295-2-172-175.
Full textDissertations / Theses on the topic "Optoelectronic surveillance system"
Микитенко, Володимир Іванович. "Підвищення ефективності функціонування оптико-електронних систем спостереження з комплексуванням зображень." Thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/31476.
Full textThe dissertation is devoted to solving the scientific problem of increasing performance of optoelectronic surveillance systems (OESS) with image fusion by creating scientific bases and applied methods of analysis, synthesis and adjustment of information channels on a uniform methodological basis. The methodological bases for improving the OESS power consumption with image fusion are scientifically substantiated. They include the methods of constructive harmonization of the OESS’s main units characteristics, the mechanism of the adaptive selection of the best method of spectral images merging, the means of experimental determination of the OESS main characteristics and allow increase performance of the system. By information fusion from different channels, one can dramatically improve the quality of background status (BS) information. There is still no unified OESS design technology to analyze and synthesize the entire information system, to formulate technical requirements for individual blocks of spectral channels and algorithms for image fusion, taking into account the context of the observer's current task and type of BS. A number of problems remain to be solved with regard to improve the OESS performance by forming the image in operator’s field of view, which content provides best solution to the current surveillance task. An «object - OESS with image fusion – operator» mathematical model has been created. It allows analyze and design the OESS within a linear model. The formula for mod-ulation transfer function of the “lens - detector” system of the aerospace OESS was obtained at arbitrary angles of view. It can be used to calculate the values of the lens pupil diameter, focal length of the lens and threshold irradiance of detector, which is required to achieve the given image contrast. Unified algorithm for estimation of spatial and energy properties of OESS spectral channels based on the targeting task performance (TTP) metric is offered. It allows to determine the main information channel in the OESS as the base for further fusion, as well as to coordinate the parameters of the input blocks of two-chan-nel OESS. The method of performance estimation of OESS with information fusion on the basis of a posteriori TTP metric is developed. The metric is determined numerically for the method of merging images on the resulting spatial spectrum of images. This method allows to investigate the features of the image fusion process and its visual perception by the operator. It allows you to calculate the probability of detection, recognition and identification of an object, which is observed by the OESS with image fusion. A new method of reconciling the basic parameters of monoblock collimator and telescopic sights for small arms is proposed. Two variants of monoblock collimator sights with improved aiming accuracy are offered. The sight of two optical parts with different refractive index, glued on the plane, provides a linear aperture of the original pupil of the sight 0.276, with parallax 3 mrad. A monoblock collimator sight of two optical parts with different refractive index, glued on a spherical surface, at the same linear aperture of the original pupil and mass provides parallax of 1.25 mrad. A scheme of a decentralized tele-scopic monoblock is proposed, in which at a mismatch of 3 mrad the magnification can reach 1.6 times compared to 1.4 times for an axisymmetric scheme. A new method for measuring OESS spectral channels basic energy characteristics has been developed. This method, compared to its analogues, increases the dynamic range up to 2.5 times with a high uniformity of the brightness field. For the first time, the efficiency of the image fusion strategy, which allows to increase the maximum detection range of objects in dual-channel OESS by up to 12%, was developed and experimentally validated. New methods of increasing the speed of information processing in multichannel OESS with image fusion are proposed. The first method uses the information map based on the low spatial resolution channel and the second method uses a digital coherent optical processor. The amount of computation in the first case can be reduced up to 2 times.
Диссертационная работа посвящена решению важной научной проблемы повышения эффективности функционирования многоканальных оптико-электронных систем наблюдения с комплексированием изображений путем создания методов согласования характеристик основных блоков, механизма оценки эффективности функционирования систем и адаптивного выбора наилучшего метода слияния изображений спектральных каналов, средств экспериментального определения основных характеристик систем, что позволяет улучшить качество выполнения текущей задачи наблюдения оператором, повысить максимальную дальность обнаружения объектов в двухканальных системах до 12%, обеспечивает увеличение динамического диапазона измерения энергетических характеристик до 2,5 раз.
Books on the topic "Optoelectronic surveillance system"
Driggers, Ronald G., and Jon C. Leachtenauer. Surveillance and Reconnaissance Systems: Modeling and Performance Prediction. Artech House Publishers, 2001.
Find full textR, Pirich Andrew, and Society of Photo-optical Instrumentation Engineers., eds. Multifrequency electronic/photonic devices and systems for dual-use applications: 29-30 July 2001, San Diego, USA. Bellingham, Wash., USA: SPIE, 2001.
Find full textBook chapters on the topic "Optoelectronic surveillance system"
Jaén-Vargas, M., K. Reyes Leiva, F. Fernandes, S. B. Gonçalves, M. Tavares Silva, D. S. Lopes, and J. Serrano Olmedo. "A Deep Learning Approach to Recognize Human Activity Using Inertial Sensors and Motion Capture Systems." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210196.
Full textYe, X. W., T. Jin, and P. Y. Chen. "Application of Computer Vision Technology to Structural Health Monitoring of Engineering Structures." In Optoelectronics in Machine Vision-Based Theories and Applications, 256–68. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5751-7.ch009.
Full textConference papers on the topic "Optoelectronic surveillance system"
Zygmunt, Marek, and Krzysztof Kopczynski. "Laser warning system as an element of optoelectronic battlefield surveillance." In Radioelectronic Systems Conference 2019, edited by Piotr Kaniewski and Jan Matuszewski. SPIE, 2020. http://dx.doi.org/10.1117/12.2565139.
Full textJia, Lili, Ying You, Tiezhu Li, and Shun Zhang. "A practical indoor context-aware surveillance system with multi-Kinect sensors." In International Symposium on Optoelectronic Technology and Application 2014, edited by Mircea Guina, Haimei Gong, Zhichuan Niu, and Jin Lu. SPIE, 2014. http://dx.doi.org/10.1117/12.2072338.
Full textBonshtedt, Boris B., Dmitry N. Eskov, and Alexander J. Smirnov. "Optoelectronic sensing of image movement in focal plane of Earth's surveillance optical system." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Michael K. Masten, Larry A. Stockum, Morris M. Birnbaum, and George E. Sevaston. SPIE, 1994. http://dx.doi.org/10.1117/12.178928.
Full textTang, Tian-jin, and Jing-bo Tong. "Telecentric system with large-field for surveillance and measuring camera in space station." In International Symposium on Optoelectronic Technology and Application 2014, edited by Anatoli G. Borovoi and Dong Liu. SPIE, 2014. http://dx.doi.org/10.1117/12.2070601.
Full textHong Yu, Jianjun Shen, and Xiaodan Du. "Camera surveillance system based on image recognition." In 2011 International Conference on Electronics and Optoelectronics (ICEOE). IEEE, 2011. http://dx.doi.org/10.1109/iceoe.2011.6013384.
Full textStenzel, Tomasz, Maciej Sajkowski, Janusz Hetmanczyk, and Tomasz Boratynski. "Application of 6-DOF parallel manipulator for optoelectronic surveillance systems development." In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. http://dx.doi.org/10.1109/pemc48073.2021.9432510.
Full textChen, Jing, and Yongtian Wang. "Compressive Imaging: An Application for Surveillance Systems." In 2012 Symposium on Photonics and Optoelectronics (SOPO 2012). IEEE, 2012. http://dx.doi.org/10.1109/sopo.2012.6270994.
Full textWu, Jianhui, Nanyang Zhang, Guoyun Zhang, and Longyuan Guo. "Study of the intelligent video surveillance system based on the staring ommateum model." In Photonics and Optoelectronics Meetings 2011, edited by Pierre Galarneau, Xu Liu, and Pengcheng Li. SPIE, 2011. http://dx.doi.org/10.1117/12.918732.
Full textStroica, Petre, and Marian Vladescu. "Implementation of an omnidirectional surveillance system based on 360-degree panoramic vision." In Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2012, edited by Paul Schiopu and Razvan Tamas. SPIE, 2012. http://dx.doi.org/10.1117/12.981841.
Full textRuban, Igor, Vladyslav Khudov, Oleksandr Makoveichuk, Hennadii Khudov, and Irina Khizhnyak. "A Swarm Method for Segmentation of Images Obtained from On-Board Optoelectronic Surveillance Systems." In 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). IEEE, 2018. http://dx.doi.org/10.1109/infocommst.2018.8632045.
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