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

Institutional repository: FER Repository

Cite this document

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

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

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

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 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:442656

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 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:442656

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

Metadata
TitleDetekcija objekata na SAR snimkama niske rezolucije metodama dubokog učenja
Title (english)Object detection in low-resolution SAR images using deep learning methods
AuthorDino Tognon
MentorMarko Bosiljevac (mentor)
Committee memberMarko Bosiljevac (predsjednik povjerenstva)
Committee memberSonja Grgić (član povjerenstva)
Committee memberDario Bojanjac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-11, 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)
Languagecroatian
URN:NBNurn:nbn:hr:168:442656
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
Access conditionsClosed access
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Created on2023-10-11 10:46:35