Bujar Fetai (Avtor), Krištof Oštir (Avtor), Mojca Kosmatin Fras (Avtor), Anka Lisec (Avtor)

Povzetek

In order to transcend the challenge of accelerating the establishment of cadastres and to efficiently maintain them once established, innovative, and automated cadastral mapping techniques are needed. The focus of the research is on the use of high-resolution optical sensors on unmanned aerial vehicle (UAV) platforms. More specifically, this study investigates the potential of UAV-based cadastral mapping, where the ENVI feature extraction (FX) module has been used for data processing. The paper describes the workflow, which encompasses image pre-processing, automatic extraction of visible boundaries on the UAV imagery, and data post-processing. It shows that this approach should be applied when the UAV orthoimage is resampled to a larger ground sample distance (GSD). In addition, the findings show that it is important to filter the extracted boundary maps to improve the results. The results of the accuracy assessment showed that almost 80% of the extracted visible boundaries were correct. Based on the automatic extraction method, the proposed workflow has the potential to accelerate and facilitate the creation of cadastral maps, especially for developing countries. In developed countries, the extracted visible boundaries might be used for the revision of existing cadastral maps. However, in both cases, the extracted visible boundaries must be validated by landowners and other beneficiaries.

Ključne besede

kataster;zemljiška parcela;katastrska meja;UAV;obdelava podob;ekstrakcija objektov;cadastre;land parcel;land plot;land cadastre;cadastral boundaries;cadastral maps;image processing;image segmentation;feature extraction;object extraction;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
UDK: 528.44
COBISS: 8835681 Povezava se bo odprla v novem oknu
ISSN: 2072-4292
Št. ogledov: 771
Št. prenosov: 445
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: Slovenski jezik
Sekundarne ključne besede: kataster;zemljiška parcela;katastrska meja;UAV;obdelava podob;ekstrakcija objektov;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1-20
Letnik: 11
Zvezek: 1510
Čas izdaje: 8 maj 2019
DOI: 10.3390/rs11131510
ID: 11419592