Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method

Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method

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. Buildin...

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Bibliographic Details
Main Author: Nilsson, Mats
Format: Others
Language:English
Published: Linköpings universitet, Datorseende 2018
Subjects:
building reconstruction
markov chain monte carlo
digital height models
Signal Processing
Signalbehandling
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148886
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-1488862018-06-27T05:23:38ZBuilding Reconstruction of Digital Height Models with the Markov Chain Monte Carlo MethodengNilsson, MatsLinköpings universitet, Datorseende2018building reconstructionmarkov chain monte carlodigital height modelsSignal ProcessingSignalbehandlingData 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%. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148886application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic building reconstruction
markov chain monte carlo
digital height models
Signal Processing
Signalbehandling
spellingShingle building reconstruction
markov chain monte carlo
digital height models
Signal Processing
Signalbehandling
Nilsson, Mats
Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
description 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%.
author Nilsson, Mats
author_facet Nilsson, Mats
author_sort Nilsson, Mats
title Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
title_short Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
title_full Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
title_fullStr Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
title_full_unstemmed Building Reconstruction of Digital Height Models with the Markov Chain Monte Carlo Method
title_sort building reconstruction of digital height models with the markov chain monte carlo method
publisher Linköpings universitet, Datorseende
publishDate 2018
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148886
work_keys_str_mv AT nilssonmats buildingreconstructionofdigitalheightmodelswiththemarkovchainmontecarlomethod
_version_ 1718708147642695680

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