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Utvärdering av metoder för att extrahera byggnader från laserdata: En jämförelse och kvalitetskontroll av byggnadsytor i FME och ArcGIS Pro
Karlstad University, Faculty of Health, Science and Technology (starting 2013).
2018 (Swedish)Independent thesis Basic level (university diploma), 15 credits / 22,5 HE creditsStudent thesisAlternative title
Evaluation of methods for extracting buildings from LiDAR : A comparison and quality assessment of roof planes in FME and ArcGIS Pro (English)
Abstract [en]

In recent times the demand of high resolution 3D data has seen a rise, and the applications of airborne LiDAR data are increasing. Automatic extraction of building roofs is important in many of these applications such as city modelling. In 2018, Lantmäteriet (the Swedish mapping, cadastral and land registration authority) is planning a new flight to collect airborne LiDAR data. This data may become useful in extracting roof planes. The purpose of this thesis is to evaluate automatic methods for extracting buildings from airborne LiDAR data, and to perform a quality assessment of the footprints.This thesis proposes specific methods of extraction in using software called ArcGIS Pro and FME. The method was to process raw LiDAR points by separating the ground points, and finding building points through plane detection of points in clusters. Vegetation was removed using height difference of the points and the area. Polygons were created from the building points and a quality assessment was then carried out concerning completeness, accuracy and RMSE. The result on four different data sets shows a more appropriate extraction in FME. Lower point density sometimes leads to better extraction of buildings because of less vegetation. Higher point density has the advantage of higher accuracy and can extract smaller buildings, but includes more vegetation. The proposed method is recommended for larger buildings (>25 m2) and a LiDAR point density around 12 points/m2.

Place, publisher, year, edition, pages
2018. , p. 41
Keywords [en]
roof plane, buildings, extraction, ArcGIS Pro, FME, airborne, LiDAR, quality assessment
Keywords [sv]
extrahering, byggnader, ArcGIS Pro, FME, LiDAR, flygburen, laserdata, kvalitetskontroll
National Category
Physical Geography
Identifiers
URN: urn:nbn:se:kau:diva-68452OAI: oai:DiVA.org:kau-68452DiVA, id: diva2:1231027
Subject / course
Geomatics
Educational program
Engineering: Surveying Technology and Geographical IT, 180 hp
Supervisors
Examiners
Available from: 2018-08-30 Created: 2018-07-05 Last updated: 2018-08-30Bibliographically approved

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Faculty of Health, Science and Technology (starting 2013)
Physical Geography

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf