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

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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.

Keywords:cadastre, land parcel, land plot, land cadastre, cadastral boundaries, cadastral maps, UAV, image processing, image segmentation, feature extraction, object extraction
Work type:Scientific work (r2)
Tipology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Number of pages:str. 1-20
Numbering:1510, 11
ISSN on article:2072-4292
DOI:10.3390/rs11131510 Link is opened in a new window
COBISS.SI-ID:8835681 Link is opened in a new window
License:CC BY-NC-ND 4.0
This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International
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Record is a part of a journal

Title:Remote sensing
Shortened title:Remote sens.
COBISS.SI-ID:32345133 This link opens in a new window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0406
Name:Opazovanje Zemlje in geoinformatika

Secondary language

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

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