Extraction of Visible Boundaries for Cadastral Mapping Based on UAV Imagery

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 vehic...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2019-07, Vol.11 (13), p.1510
Main Authors: Fetai, Bujar, Oštir, Krištof, Kosmatin Fras, Mojca, Lisec, Anka
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Boundaries
cadastral boundaries
Cadastral mapping
cadastral maps
Developing countries
feature extraction
Geographic information systems
Image detection
image processing
image segmentation
Industrialized nations
land cadastre
land plot
Land rights
Land tenure
LDCs
Mapping
Mathematical morphology
Post-production processing
Recording
Remote sensing
Roads & highways
Sensors
UAV
Unmanned aerial vehicles
Urban areas
Vector processing (computers)
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Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs11131510