doktorska disertacija
Dejan Grigillo (Avtor), Mojca Kosmatin Fras (Mentor), Matjaž Mikoš (Član komisije za zagovor), Krištof Oštir (Član komisije za zagovor), Dubravko Gajski (Član komisije za zagovor)

Povzetek

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

Ključne besede

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

Podatki

Jezik: Slovenski jezik
Leto izida:
Izvor: Ljubljana
Tipologija: 2.08 - Doktorska disertacija
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
Založnik: [D. Grigillo]
UDK: 528.72+528.74:528.8:721(043.3)
COBISS: 4890977 Povezava se bo odprla v novem oknu
Št. ogledov: 1897
Št. prenosov: 651
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Automatic building detection from high resolution imagery for maintenance of topographic data
Sekundarni povzetek: 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
Sekundarne ključne besede: 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
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Doktorska disertacija
Komentar na gradivo: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Strani: XXIV, 156 str.
Ključne besede (UDK): 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