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Abstract

This PhD research aims to design and implement a method to facilitate land rights mapping through indirect surveying techniques from UAV data. It is based on the assumption that a large portion of cadastral boundaries is physically manifested through objects such as hedges, fences, stone walls, tree lines, roads, walkways or waterways. Those visible boundaries bear the potential to be extracted with methods from photogrammetry, remote sensing and computer vision. The automatically extracted outlines require further (legal) adjudication that allows incorporating local knowledge from a human operator. The method currently being designed and developed within this PhD research aims to provide a delineation approach that includes this automated extraction combined with an interactive delineation (Figure 1). This work is part of the Horizon 2020 program of the European Union (project its4land).
Original languageEnglish
Pages6
Number of pages1
Publication statusPublished - 30 Nov 2018
EventNCG symposium 2018 - Wageningen university, Wageningen, Netherlands
Duration: 29 Nov 201829 Nov 2018
https://ncgeo.nl/index.php/nl/actueel/nieuws/item/2781-programma-ncg-symposium-2018

Conference

ConferenceNCG symposium 2018
CountryNetherlands
CityWageningen
Period29/11/1829/11/18
Internet address

Fingerprint

computer vision
land rights
traditional knowledge
treeline
photogrammetry
surveying
European Union
road
remote sensing
method
hedge
project
programme
waterway
stone

Keywords

  • ITC-GOLD

Cite this

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title = "Towards Automated Cadastral Boundary Delineation from UAV data",
abstract = "This PhD research aims to design and implement a method to facilitate land rights mapping through indirect surveying techniques from UAV data. It is based on the assumption that a large portion of cadastral boundaries is physically manifested through objects such as hedges, fences, stone walls, tree lines, roads, walkways or waterways. Those visible boundaries bear the potential to be extracted with methods from photogrammetry, remote sensing and computer vision. The automatically extracted outlines require further (legal) adjudication that allows incorporating local knowledge from a human operator. The method currently being designed and developed within this PhD research aims to provide a delineation approach that includes this automated extraction combined with an interactive delineation (Figure 1). This work is part of the Horizon 2020 program of the European Union (project its4land).",
keywords = "ITC-GOLD",
author = "S. Crommelinck and M.Y. Yang and M.N. Koeva and G. Vosselman",
year = "2018",
month = "11",
day = "30",
language = "English",
pages = "6",
note = "NCG symposium 2018 ; Conference date: 29-11-2018 Through 29-11-2018",
url = "https://ncgeo.nl/index.php/nl/actueel/nieuws/item/2781-programma-ncg-symposium-2018",

}

Crommelinck, S, Yang, MY, Koeva, MN & Vosselman, G 2018, 'Towards Automated Cadastral Boundary Delineation from UAV data' NCG symposium 2018 , Wageningen, Netherlands, 29/11/18 - 29/11/18, pp. 6.

Towards Automated Cadastral Boundary Delineation from UAV data. / Crommelinck, S.; Yang, M.Y.; Koeva, M.N.; Vosselman, G.

2018. 6 Abstract from NCG symposium 2018 , Wageningen, Netherlands.

Research output: Contribution to conferenceAbstractOther research output

TY - CONF

T1 - Towards Automated Cadastral Boundary Delineation from UAV data

AU - Crommelinck, S.

AU - Yang, M.Y.

AU - Koeva, M.N.

AU - Vosselman, G.

PY - 2018/11/30

Y1 - 2018/11/30

N2 - This PhD research aims to design and implement a method to facilitate land rights mapping through indirect surveying techniques from UAV data. It is based on the assumption that a large portion of cadastral boundaries is physically manifested through objects such as hedges, fences, stone walls, tree lines, roads, walkways or waterways. Those visible boundaries bear the potential to be extracted with methods from photogrammetry, remote sensing and computer vision. The automatically extracted outlines require further (legal) adjudication that allows incorporating local knowledge from a human operator. The method currently being designed and developed within this PhD research aims to provide a delineation approach that includes this automated extraction combined with an interactive delineation (Figure 1). This work is part of the Horizon 2020 program of the European Union (project its4land).

AB - This PhD research aims to design and implement a method to facilitate land rights mapping through indirect surveying techniques from UAV data. It is based on the assumption that a large portion of cadastral boundaries is physically manifested through objects such as hedges, fences, stone walls, tree lines, roads, walkways or waterways. Those visible boundaries bear the potential to be extracted with methods from photogrammetry, remote sensing and computer vision. The automatically extracted outlines require further (legal) adjudication that allows incorporating local knowledge from a human operator. The method currently being designed and developed within this PhD research aims to provide a delineation approach that includes this automated extraction combined with an interactive delineation (Figure 1). This work is part of the Horizon 2020 program of the European Union (project its4land).

KW - ITC-GOLD

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/pres/crommelinck_tow_abs.pdf

M3 - Abstract

SP - 6

ER -