20.500.12556/DKUM-69337 Kategorizacija in detekcija sprememb v radarskih slikah sar z uporabo algoritma globokega učenja Categorization and change detection using synthetic aperture radar data with deep learning algorithm V magistrskem delu je opisan postopek kategorizacije in detekcije sprememb v radarskih slikah SAR z uporabo konvolucijske nevronske mreže, tako imenovane »Deep Learning«. V ta namen je bil izdelan program v Matlab programskem okolju, ki je sposoben izrezati SAR radarsko sliko na poljubne manjše dele, ustvariti konvolucijsko nevronsko mrežo, jo naučiti ter uporabiti pri klasifikaciji in detekciji predelov površja na Zemlji. Programu je dodana tudi opcija uporabe grafično procesne enote »GPU« za pohitritev učenja konvolucijskih nevronskih mrež. The master's thesis describes the process of categorization and detection of changes in SAR radar images using a convolutional neural network, the so-called "Deep Learning." A program was developed In the Matlab program environment for this purpose. The program is capable of cutting the SAR radar image into smaller thumbnails, creating convolution neural network for learning and recognition of Earth's surface parts and changes on it. The program also contains an option to use the graphics processing unit »GPU« for speeding up the learning process of the convolutional neural network. SAR kategorizacija slik detekcija sprememb v sliki globoke nevronske mreže paralelno procesiranje SAR image categorization change detection in image deep neural networks parallel processing true true false A. Obal Slovenski jezik Angleški jezik Magistrsko delo/naloga 2018-01-08 11:46:11 2018-02-09 13:11:04 2022-08-01 17:20:15 2019-07-11 17:28:43 2018 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.032.26:550.837.7(043.2) 21209110 URN:SI:UM:DK:PQIOLGLL MAG_Obal_Ales_2018.pdf MAG_Obal_Ales_2018.pdf 1 3EF5CCE587A4E906C319DE12F96F0D5C b4e623b705ed6ba6719354f888e21f3ed32a14fd1a5044b142c2cd3d8299814a a5805b41-7c0f-11eb-bb7a-00155d0001ca 20.500.12556/dkum/cedd8cab-4cbb-45da-b87d-84f6122cbae4 https://dk.um.si/Dokument.php?lang=slv&id=121788 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0