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Extraction of visible boundaries for cadastral mapping based on UAV imagery
Fetai, Bujar (Avtor), Oštir, Krištof (Avtor), Kosmatin Fras, Mojca (Avtor), Lisec, Anka (Avtor)

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URLURL - Izvorni URL, za dostop obiščite https://www.mdpi.com/2072-4292/11/13/1510 Povezava se odpre v novem oknu

Izvleček
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.

Jezik:Angleški jezik
Ključne besede:cadastre, land parcel, land plot, land cadastre, cadastral boundaries, cadastral maps, UAV, image processing, image segmentation, feature extraction, object extraction
Vrsta gradiva:Znanstveno delo (r2)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Leto izida:2019
Št. strani:str. 1-20
Številčenje:1510, 11
UDK:528.44
ISSN pri članku:2072-4292
DOI:10.3390/rs11131510 Povezava se odpre v novem oknu
COBISS.SI-ID:8835681 Povezava se odpre v novem oknu
Licenca:CC BY-NC-ND 4.0
To delo je dosegljivo pod licenco Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Število ogledov:130
Število prenosov:119
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
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Gradivo je del revije

Naslov:Remote sensing
Skrajšan naslov:Remote sens.
Založnik:MDPI
ISSN:2072-4292
COBISS.SI-ID:32345133 Povezava se odpre v novem oknu

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Številka projekta:P2-0406
Naslov:Opazovanje Zemlje in geoinformatika

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:kataster, zemljiška parcela, katastrska meja, UAV, obdelava podob, ekstrakcija objektov

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