Upotreba i usporedba metoda nenadzirane i nadzirane klasifikacije SENTINEL-2 satelitskih snimki na području Grada Zagreba u programskom jeziku R

master's thesis

• Title: Upotreba i usporedba metoda nenadzirane i nadzirane klasifikacije SENTINEL-2 satelitskih snimki na području Grada Zagreba u programskom jeziku R : diplomski rad
• Title (english): Use and comparison of unsupervised and supervised classification methods of SENTINEL-2 satellite images of Zagreb City area in R programming language : master's thesis
• Author: Dominik Rukavina
• Mentor: Ivan Medved (mentor)
• Committee member: Ivan Medved (predsjednik povjerenstva)
• Committee member: Jasna Orešković (član povjerenstva)
• Committee member: Tomislav Korman (član povjerenstva)
• Granter: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Geophysical Exploration and Mine Surveying); Zagreb
• Defense date and country: 2023-02-27, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Geological Engineering

Abstract

Klasifikacija SENTINEL-2 satelitske snimke na području Grada Zagreba pomoću metoda nenadziranog i nadziranog strojnog učenja. Prikupljanje ulaznih podataka rađeno je u softveru QGIS. Izgradnja modela nenadzirane i nadzirane klasifikacije provedena je u R-studio-u. Usporedba točnosti predikcije korištenih modela random forest i extreme gradient boost. Vizualni pregled dobivenih rezultata stvorenih u programskom jeziku R.

Abstract (english)

Classification of SENTINEL-2 satellite images of Zagreb City area using the methods of unsupervised and supervised machine learning. Input data collection was done in QGIS software. Construction of unsupervised and supervised classification models was performed in R-studio. Comparison of prediction accuracy of used random forest and extreme gradient boost models. Visual overview of the results created in R programming language.

• Keywords: klasifikacija; NDVI; SENTINEL; R; RStudio; QGIS; Zagreb; nenadzirano; nadzirano
• Keywords (english): classification; NDVI; SENTINEL; R; RStudio; QGIS; Zagreb; unsupervised; supervised
• Language: croatian
• URN:NBN: urn:nbn:hr:169:086466
• Study programme: Title: Geological engineering; specializations in: Hydrogeology and engineering geology, Environmental geology; Course: Hydrogeology and engineering geology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka geološkog inženjerstva (magistar/magistra inženjer/inženjerka geološkog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-08-08 07:43:04