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master's thesis
Praćenje plovila u radarskim snimkama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:378634
Barešić, Mauro
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Barešić, M. (2015). Praćenje plovila u radarskim snimkama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:378634

Barešić, Mauro. "Praćenje plovila u radarskim snimkama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:378634

Barešić, Mauro. "Praćenje plovila u radarskim snimkama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:378634

Barešić, M. (2015). 'Praćenje plovila u radarskim snimkama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:378634

Barešić M. Praćenje plovila u radarskim snimkama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:378634

M. Barešić, "Praćenje plovila u radarskim snimkama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:378634

Metadata
TitlePraćenje plovila u radarskim snimkama
Title (english)Tracking objects in radar images
AuthorMauro Barešić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
Committee memberSiniša Šegvić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sustavi za detekciju i praćenje plovila koriste se za povećanje sigurnosti plovidbe. Takvi sustavi koriste razne senzore među kojima su optičke kamere, termalne kamere te radarski sustavi. Radarski sustavi koriste specijalizirane algoritme koji estimiraju i predviđaju trajektorije plovila kako bi ih što uspješnije detektirali i pratili. U ovom diplomskom radu implementiran je jedan takav algoritam temeljen na proširenom Kalmanovu filtru. Korišteni model gibanja plovila temeljen je na modelu krivocrtnog gibanja. U radarskim snimkama nalazi se velika prisutnost šuma čiji utjecaj na kvalitetu rada sustava nije zanemariv te se zato koriste algoritmi za obradu binarne slike kako bi se šum umanjio.
Abstract (english)
Vessel detection and tracking systems are used to improve maritime safety. Such systems use a variety of sensors, including optical cameras, thermal imaging and radar systems. Radar systems use specialised algorithms that estimate and predict vessel trajectory to improve detection and tracking. Such algorithm, based on the extended Kalman filter, is implemented in this thesis. Vessel model is based on the curvilinear motion model. There is a large presence of noise in radar images whose effect on the quality of the system is not negligible and, therefore, algorithms for processing the binary image are used in order to minimize the noise.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:378634
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 07:44:27