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Konceptualni model za zagotavljanje kakovosti 3D-modelov stavb na temelju fotogrametričnega oblaka točk : doktorska disertacija
ID Drešček, Urška (Author), ID Lisec, Anka (Mentor) More about this mentor... This link opens in a new window, ID Kosmatin Fras, Mojca (Co-mentor)

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Abstract
V doktorski disertaciji se ukvarjamo s področjem spremljanja in zagotavljanja kakovosti prostorskih podatkov, natančneje s kakovostjo podatkov v procesu 3D-modeliranja stavb iz fotogrametričnega oblaka točk, pridobljenega iz fotografij, zajetih z daljinsko vodenim letalnikom. Ker se daljinsko vodeni letalniki vse širše uporabljajo za zajem prostorskih podatkov, je vprašanje zagotavljanja kakovosti prostorskih podatkov pri tem aktualna raziskovalna in strokovna tema. V raziskavi smo na podlagi literature podrobno analizirali postopke zajema, obdelave in modeliranja prostorskih podatkov, zajetih z daljinsko vodenim letalnikom, za pridobitev topološko urejenega vektorskega 3D-modela stavb. Izdelali smo procesni model, s katerim smo prepoznavali ključne dejavnike, ki vplivajo na kakovost izdelkov v celotnem postopku obdelave podatkov in 3D-modeliranja. Ob poznavanju teh dejavnikov smo zasnovali konceptualni model za zagotavljanje kakovosti podatkov v obravnavanem procesu. Na podlagi konceptualnega modela smo razširili procesni model s postopki za sprotno spremljanje kakovosti vmesnih rezultatov procesa 3D-modeliranja stavb. Razviti procesni model, ki poleg postopkov obdelave podatkov vključuje tudi postopke preverjanja kakovosti, je pomembna novost na obravnavanem raziskovalnem področju in pregledno predstavlja vse faze od zajema UAV-podatkov do končnega 3D-modela stavbe. V eksperimentalnem delu naloge smo za podatke na dveh študijskih območjih preizkusili predlagani konceptualni in procesni model. Nadalje smo preverili vplive izbranih dejavnikov na kakovost vmesnih rezultatov procesa in končnega 3D-modela stavb. Pomembni prispevki disertacije so, poleg celovite obravnave procesa 3D-modeliranja stavb iz podatkov, zajetih z daljinsko vodenim letalnikom, in podrobnega procesnega modela s postopki preverjanja kakovosti, še analiza vpliva izbranih dejavnikov in verifikacija predlaganih korakov za spremljanje kakovosti rezultatov obdelave podatkov.

Language:Slovenian
Keywords:prostorski podatki, kakovost podatkov, konceptualni model, procesni model, UAV, daljinsko vodeni letalnik, oblak točk, 3D-modeliranje, 3D-model stavbe, CityGML
Work type:Doctoral dissertation (mb31)
Typology:2.08 - Doctoral Dissertation
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2021
Publisher:[U. Drešček]
UDC:004.932:528.7:721(043)
COBISS.SI-ID:56562947 This link opens in a new window
Publication date in RUL:18.03.2021
Views:429
Downloads:136
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Secondary language

Language:English
Title:A conceptual model for quality assurance of 3D building models based on a photogrammetric point cloud : doctoral dissertation
Abstract:
This doctoral dissertation deals with spatial data quality monitoring and assurance, more specifically with the quality of data in the process of 3D building modelling from photogrammetric point cloud obtained from imagery acquired by an unmanned aerial vehicle (UAV). As UAVs are increasingly used to acquire spatial data, ensuring spatial data quality is an emerging relevant topic. Based on the literature review, we thoroughly analysed the procedures for spatial data acquisition, processing and modelling acquired by a UAV to obtain a topologically correct 3D building model in a vector form. We developed a process model to identify critical factors that affect data quality throughout data processing and modelling. Based on the identified factors, we designed a conceptual model for spatial data quality assurance within the whole process. Considering the conceptual model, the process model has been expanded by integrating data quality procedures for controlling the quality of intermediate results within the 3D building modelling process. The developed process model, which includes both data processing and quality managing, is an important research achievement that transparently presents all data-modelling phases from the UAV data acquisition to the final 3D building model. In the experimental part, the conceptual and process model have been verified for datasets in two study areas. Here, we have further analysed the influence of selected factors on the quality of the intermediate results of data processing and the final 3D building model. Besides the comprehensive study of 3D building modelling based on UAV data and a detailed process model for data modelling, the research contributions are to be seen in the impact analysis of the selected factors and verification of the detailed process model with data-quality monitoring.

Keywords:spatial data, data quality, conceptual model, process model, UAV, remotely piloted aerial systems, point cloud, 3D modelling, 3D building model, CityGML

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