doktorska disertacija
Dejan Grigillo (Author), Mojca Kosmatin Fras (Mentor), Matjaž Mikoš (Thesis defence commission member), Krištof Oštir (Thesis defence commission member), Dubravko Gajski (Thesis defence commission member)

Abstract

Samodejno odkrivanje stavb na visokoločljivih slikovnih virih za potrebe vzdrževanja topografskih podatkov

Keywords

odkrivanje stavb;iskanje sprememb;nDMP;normalizirani digitalni model površja;ortofoto;GeoEye-1;IKONOS;georeferenciranje;obdelava podob;daljinsko zaznavanje;

Data

Language: Slovenian
Year of publishing:
Source: Ljubljana
Typology: 2.08 - Doctoral Dissertation
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: [D. Grigillo]
UDC: 528.72+528.74:528.8:721(043.3)
COBISS: 4890977 Link will open in a new window
Views: 1897
Downloads: 651
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Other data

Secondary language: English
Secondary title: Automatic building detection from high resolution imagery for maintenance of topographic data
Secondary abstract: Topographic data are data on the physical state of the surface. They are managed in topographic databases which need to be regularly updated and maintained. Building data are one of the data types in topographic databases. This doctoral thesis presents data sources and existing methods for management of building data. It notes new data sources that can be used as alternatives to the existing ones. High-resolution image sources enable the use of automatic methods for updating topographic databases. This doctoral thesis reviews the possibilities for maintaining topographic data with single-image methods based on automatic methods. The possibilities for automatic capturing and extraction of buildings are described based on a combination of normalized digital surface model (nDSM) and orthophotos, on a stereo IKONOS imagery and on GeoEye-1 image. Alongside, the thesis presents a new method of automatic building extraction based on an original combination of anisotropic diffusion, unsupervised classification, colour segmentation, and region growing. The methods used are based on building mask creation and its final vectorization. The results of automated building extraction were evaluated. A method of using the results for maintaining topographic building data is proposed. The thesis also proposes further research with the aim of designing a future fully automated system for maintaining topographic building data. High-resolution satellite images enable an important new source for maintaining topographic data. This thesis presents a selection of methods for their georeferencing and methods for enhancing images prior to automatic building extraction. We assessed their suitability for maintaining topographic building data, analysed the geometric accuracy they can provide and highlighted the advantages and challenges of their implementation. X
Secondary keywords: building extraction;change detection;nDSM;normalized digital surface model;orthophoto;GeoEye-1;IKONOS;georeferencing;image processing;remote sensing;Zgradbe;Disertacije;Topografski podatki;
URN: URN:NBN:SI
File type: application/pdf
Type (COBISS): Dissertation
Thesis comment: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages: XXIV, 156 str.
Keywords (UDC): mathematics;natural sciences;naravoslovne vede;matematika;astronomy;astrophysics;space research;geodesy;astronomija;astrofizika;raziskovanje vesolja;geodesy;surveying;photogrammetry;remote sensing;cartography;geodezija;pregled terena;fotogrametrija;daljinsko zaznavanje;kartografija;photogrammetry: aerial;terrestrial;aerofotogrametrija;terestrična fotogrametrija;mathematics;natural sciences;naravoslovne vede;matematika;astronomy;astrophysics;space research;geodesy;astronomija;astrofizika;raziskovanje vesolja;geodesy;surveying;photogrammetry;remote sensing;cartography;geodezija;pregled terena;fotogrametrija;daljinsko zaznavanje;kartografija;photogrammetry: aerial;terrestrial;aerofotogrametrija;terestrična fotogrametrija;mathematics;natural sciences;naravoslovne vede;matematika;astronomy;astrophysics;space research;geodesy;astronomija;astrofizika;raziskovanje vesolja;geodesy;surveying;photogrammetry;remote sensing;cartography;geodezija;pregled terena;fotogrametrija;daljinsko zaznavanje;kartografija;remote sensing;the arts;recreation;entertainment;sport;umetnost;razvedrilo;zabava;šport;architecture;arhitektura;buildings generally;zgradbe splošno;
ID: 26085