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Extraction of visible boundaries for cadastral mapping based on UAV imagery
ID
Fetai, Bujar
(
Author
),
ID
Oštir, Krištof
(
Author
),
ID
Kosmatin Fras, Mojca
(
Author
),
ID
Lisec, Anka
(
Author
)
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https://www.mdpi.com/2072-4292/11/13/1510
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Abstract
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
Views:
1492
Downloads:
666
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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
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