Extraction of visible boundaries for cadastral mapping based on UAV imagery

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

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: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2019
• Št. strani: 20 str.
• Številčenje: Vol. 11, iss. 13, art. 1510
• PID: 20.500.12556/RUL-114452
• UDK: 528.44
• ISSN pri članku: 2072-4292
• DOI: 10.3390/rs11131510
• COBISS.SI-ID: 8835681
• Datum objave v RUL: 28.02.2020

Gradivo je del revije

• Naslov: Remote sensing
• Skrajšan naslov: Remote sens.
• Založnik: MDPI
• ISSN: 2072-4292
• COBISS.SI-ID: 32345133

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.07.2020

Sekundarni jezik

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

Projekti

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