Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja

Tognon, Dino

prikaz prve stranice dokumenta Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja

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master's thesis

Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:442656

Tognon, Dino

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Tognon, D. (2023). Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:442656

MLA 8th Edition

Tognon, Dino. "Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:442656

Chicago 17th Edition

Tognon, Dino. "Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:442656

Harvard

Tognon, D. (2023). 'Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:442656

Vancouver

Tognon D. Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:442656

IEEE

D. Tognon, "Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:442656

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:442656

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Metadata

Title	Detekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja
Title (english)	Object detection in low-resolution SAR images using deep learning methods
Author	Dino Tognon
Mentor	Marko Bosiljevac (mentor)
Committee member	Marko Bosiljevac (predsjednik povjerenstva)
Committee member	Sonja Grgić (član povjerenstva)
Committee member	Dario Bojanjac (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2023-07-11, Croatia
Abstract	Rad započinje kratkim uvodom u radarsku tehnologiju te je objašnjena motivacija za izradu sustava za automatsku detekciju objekata na SAR snimkama. Ukratko je opisan princip rada neuronskih mreža, konvolucijskih neuronskih mreža te DBSCAN algoritma grupiranja. U zadnjem poglavlju detaljno je opisan razvijeni sustav za detekciju objekata na radarskim snimkama niske rezolucije. U sklopu opisa sustava, opisan je razvijeni algoritam za lokalizaciju objekata, objašnjen je način izgradnje i odabira klasifikatora za korištenje u sustavu te su prikazani rezultati izvođenja algoritma i navedene sve izmjerene performanse na skupovima podataka različitih apertura. Na samom kraju rada dane su smjernice za daljnji rad i unaprjeđenje sustava.
Abstract (english)	The thesis begins with a short introduction to radar technology and the reasoning behind creating a system for automatic detection of objects in SAR images. The second chapter briefly describes the working principles of neural networks, convolutional neural networks and the DBSCAN grouping algorithm. The final chapter describes the developed system for detecting objects on low-resolution radar images in detail. As part of the system description, the developed algorithm for object localization and the method of building and selecting a classifier for use in the system are described and explained. Also, the results of the algorithm execution are presented and performance metrics on different aperture data sets are listed. At the very end, a few guidelines are given for further improvement of the system.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:442656
Study programme	Title: Computing Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Repository	FER Repository
Created on	2023-10-11 10:46:35