Extraction of visible boundaries for cadastral mapping based on UAV imagery

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

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.

• Language: English
• Keywords: cadastre, land parcel, land plot, land cadastre, cadastral boundaries, cadastral maps, UAV, image processing, image segmentation, feature extraction, object extraction
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FGG - Faculty of Civil and Geodetic Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2019
• Number of pages: 20 str.
• Numbering: Vol. 11, iss. 13, art. 1510
• PID: 20.500.12556/RUL-114452
• UDC: 528.44
• ISSN on article: 2072-4292
• DOI: 10.3390/rs11131510
• COBISS.SI-ID: 8835681
• Publication date in RUL: 28.02.2020

Record is a part of a journal

• Title: Remote sensing
• Shortened title: Remote sens.
• Publisher: MDPI
• ISSN: 2072-4292
• COBISS.SI-ID: 32345133

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 01.07.2020

Secondary language

• Language: Slovenian
• Keywords: kataster, zemljiška parcela, katastrska meja, UAV, obdelava podob, ekstrakcija objektov

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0406
• Name: Opazovanje Zemlje in geoinformatika