prikaz prve stranice dokumenta Procesiranje signala u termovizijskim kamerama
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scientific master's theses
Procesiranje signala u termovizijskim kamerama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 1999. urn:nbn:hr:168:658944
Pecić, Borislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Pecić, B. (1999). Procesiranje signala u termovizijskim kamerama (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:658944

Pecić, Borislav. "Procesiranje signala u termovizijskim kamerama." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 1999. https://urn.nsk.hr/urn:nbn:hr:168:658944

Pecić, Borislav. "Procesiranje signala u termovizijskim kamerama." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 1999. https://urn.nsk.hr/urn:nbn:hr:168:658944

Pecić, B. (1999). 'Procesiranje signala u termovizijskim kamerama', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:658944

Pecić B. Procesiranje signala u termovizijskim kamerama [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 1999 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:658944

B. Pecić, "Procesiranje signala u termovizijskim kamerama", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 1999. Available at: https://urn.nsk.hr/urn:nbn:hr:168:658944

Metadata
TitleProcesiranje signala u termovizijskim kamerama
AuthorBorislav Pecić
MentorBranka Zovko-Cihlar (mentor)
Committee memberBranka Zovko-Cihlar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country1999-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Radio Communications
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
U radu je opisano procesiranje signala u termovizijskim kamerama. Svrha procesiranja je dovođenje izlaznog signala detektora u oblik pogodan za prikaz na monitoru. Prikazane tehnike procesiranja ovise o tehnološkom razvoju infracrvene kamere i konstrukciji slikovnog senzora. Termovizijska kamera, kao dio elektro-optičkog sustava, promatrana je kao model koji uključuje: zračenje objekta, pozadinsko zračenje, propagaciju, optiku, analizator, detektor, hladilo, procesiranje signala, displej, te ljudsku interpretaciju slike s displeja. Odnos signal/šum je mjera osjetljivosti koja opisuje model. Promatrani izvori signala su tijela, nisko u atmosferi, koja zrače dominantan dio energije u srednjevalnom infracrvenom području MWIR (engl. Mid wavelength infrared - MWIR) od 3 do 5 μm i dugovalnom infracrvenom području LWIR (engl. Long wavelength infrared - LWIR) od 7 do 14 μm. Termovizijska kamera omogućava detekciju, identifikaciju i praćenje cilja po mraku i u lošim atmosferskim uvjetima. Nivo razlikovanja cilja definiran je Johnsonovim kriterijem.
Abstract (english)
Signal processing in the thermal imagers has been described in this work. The main purpose of signal processing is forming the output detector signal into a shape suitable for showing on the screen. Processing techniques shown in this work depend on the technological development of the infrared camera and of the image sensor construction. Thermal imager, as a part of an electro-optical system, has been seen as a model which includes: object radiation, background radiation, propagation, optics, scanner, detector, cooler, signal processing, display and the human interpretation of the displayed information. Signal-to-noise ratio is the sensitivity measurement which describes the model. Measured signal sources are bodies, situated low in the atmosphere, emitting a dominant part of energy in the MWIR (Mid wavelength infrared – MWIR) from 3 to 5 µm and LWIR (Long wavelength infrared – LWIR) from 7 to 14 µm. Detection, identification and target tracking in the dark and in poor atmospheric conditions are possible with the thermal imagers. Target discrimination level is described by Johnson’s criterion.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:658944
Study programmeTitle: Postgraduate master programme in electrical engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2019-07-22 07:27:52