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Objektna klasifikacija s programom QGIS : diplomska naloga
ID Hrovat, Polona (Author), ID Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window, ID Mangafić, Alen (Co-mentor)

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Abstract
Glavni namen diplomske naloge je izvedba objektno usmerjene analize satelitskih posnetkov z uporabo odprtokodnega programa Orfeo ToolBox. V prvem delu je opisana objektno usmerjane analiza podatkov ter njene prednosti in slabosti v primerjavi s pikselsko analizo. Sledi opis korakov objektno usmerjene analize (segmentacija, objektna klasifikacija, poklasifikacija in ocena natančnosti rezultatov). V drugem delu naloge je predstavljen uporabljen odprtokodni program za izvedbo objektne klasifikacije Orfeo ToolBox. Tretji del je namenjen predstavitvi uporabljenih podatkov in območja, na katerem smo izvedli klasifikacijo. Četrti del pa je predstavitev postopka izdelave objektne klasifikacije v izbranem programu. Opisani so vsi koraki in postopki izvedbe segmentacije, izbire informacijskih razredov in učnih vzorcev, klasifikacije, poklasifikacije in ocene natančnosti.

Language:Slovenian
Keywords:daljinsko zaznavanje, objektno usmerjena analiza podatkov, Orfeo ToolBox, segmentacija, klasifikacija
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2019
Publisher:P. Hrovat]
PID:20.500.12556/RUL-110954 This link opens in a new window
UDC:528.8(043.2)
COBISS.SI-ID:8926561 This link opens in a new window
Publication date in RUL:21.09.2019
Views:897
Downloads:261
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Secondary language

Language:English
Title:Object based classification with QGIS : graduation thesis
Abstract:
The main purpose of the thesis is to perform object-oriented analysis of satellite images, using open source program Orfeo ToolBox. The first part describes object-oriented data analysis and its advantages and disadvantages compared to pixel-based image classification. Following is a description of the steps of object-oriented analysis (segmentation, object classification, post-classification and estimation of accuracy of results). The second part of the thesis describes the open-source program, Orfeo ToolBox, used to implement object classification. The third part describes used data and the area where the classification was performed. The fourth part is a presentation of the processes of the object classification in the selected program. All the steps and procedures for performing segmentation, selection of classes and learning samples, classification, post-classification and accuracy assessment are described.

Keywords:remote sensing, object-oriented data analysis, Orfeo ToolBox, segmentation, classification

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