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Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
Linköping University, Department of Electrical Engineering, Computer Vision.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Data about the earth is increasing in value and demand from customers, but itis difficult to produce accurately and cheap. This thesis examines if it is possible to take low resolution and distorted 3D data and increase the accuracy of building geometry by performing building reconstruction. Building reconstruction is performed with a Markov chain Monte Carlo method where building primitives are placed iteratively until a good fit is found. The digital height model and pixel classification used is produced by Vricon. The method is able to correctly place primitive models, but often overestimate their dimensions by about 15%.

Place, publisher, year, edition, pages
2018. , p. 52
Keywords [en]
building reconstruction, markov chain monte carlo, digital height models
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-148886ISRN: LiTH-ISY-EX--18/5130--SEOAI: oai:DiVA.org:liu-148886DiVA, id: diva2:1223969
External cooperation
Saab Dynamics
Subject / course
Electrical Engineering
Presentation
2018-06-12, Linköping, 15:15 (Swedish)
Supervisors
Examiners
Available from: 2018-06-26 Created: 2018-06-26 Last updated: 2018-06-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
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