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Title:Identifikacija in odprava napak v digitalnem modelu reliefa
Authors:ID Mustafić, Emir (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Mongus, Domen (Comentor)
Files:.pdf VS_Mustafic_Emir_2016.pdf (2,46 MB)
MD5: F5EEFC2D955883C1CC7314098537343B
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V predstavljenem diplomskem delu obravnavamo učinkovito zaznavo in odpravo napak v digitalnih modelih reliefa. Digitalni model reliefa izdelamo tudi iz podatkov laserskega daljinskega zaznavanja. Kot vsaka tehnologija, tudi ta prinaša možnost napak oziroma odstopanj. Naš cilj je bil te napake zaznati, oceniti in odpraviti. Za dosego tega cilja smo našteli in ovrednotili obstoječe postopke za glajenje podatkov ter ustrezne uporabili v implementaciji lastnega postopka odprave napak, izvedljivega s pomočjo namenskega grafičnega uporabniškega vmesnika.
Keywords:LiDAR, digitalni model reliefa, zaznava napak, digitalna obdelava signalov
Place of publishing:[Maribor
Publisher:E. Mustafić
Year of publishing:2016
PID:20.500.12556/DKUM-61900 New window
UDC:004.383.3:528.8.044.6(043.2)
COBISS.SI-ID:19837462 New window
NUK URN:URN:SI:UM:DK:4C2YTQSI
Publication date in DKUM:06.09.2016
Views:1574
Downloads:96
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
MUSTAFIĆ, Emir, 2016, Identifikacija in odprava napak v digitalnem modelu reliefa [online]. Bachelor’s thesis. Maribor : E. Mustafić. [Accessed 27 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=61900
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Secondary language

Language:English
Title:Error identification and elimination in digital terrain model
Abstract:The aim of the presented diploma thesis was to efficiently identify and remove errors in digital terrain models, which was built from the data, acquired by the laser remote sensing technology - LiDAR. Like every other technology, errors are prone to be present. Our goal was to identify, evaluate and remove these errors. To achieve this, we enumerated and evaluated existing smoothing methods for digital terrain models. The one that best fit the criteria was used in our implementation, which was demonstrated by developed graphical user interface.
Keywords:LiDAR, digital terrain model, error identification, digital signal processing


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