Uncertainty comparison of Digital Elevation Models derived from different image file formats

Unmanned Aerial Systems (UAS) have become increasingly popular recently for surveying and mapping because of their efficiency in acquiring remotely sensed data in a short amount of time and the low cost associated with them. They are used to generate digital elevation models (DEM) derived from aeria...

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Bibliographic Details
Main Author: Spring, Ted
Format: Others
Language:English
Published: Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad 2014
Subjects:
UAV
UAS
DEM
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17193
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spelling ndltd-UPSALLA1-oai-DiVA.org-hig-171932021-12-14T05:53:58ZUncertainty comparison of Digital Elevation Models derived from different image file formatsengSpring, TedHögskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad2014UAVUASDEMRAW formatOther Civil EngineeringAnnan samhällsbyggnadsteknikUnmanned Aerial Systems (UAS) have become increasingly popular recently for surveying and mapping because of their efficiency in acquiring remotely sensed data in a short amount of time and the low cost associated with them. They are used to generate digital elevation models (DEM) derived from aerial photography for various purposes such as the documentation of cultural heritage sites, archaeological surveying or earthwork volume calculations. This thesis investigates the possible effects different file formats may have on the quality of elevation models. In this thesis, an UAS survey was simulated using a digital camera to produce six DEMs based on JPEG, TIFF and RAW format in Agisoft Photoscan by taking two sets of images of a city model, in different light conditions. Furthermore, a reference DEM was produced in Geomagic Studio using data from a Leica Nova MS50 Multistation. The DEMs were then compared in Geomagic Control. The results from the 3D comparison in Geomagic Control show that the standard deviation of all elevation models is 4 mm with the exception of the elevation model derived from raw-edited images taken with lighting, which has a standard deviation of nearly 6 mm. Also, all of the models have an average deviation of 0.4 mm or less. The significant deviations in all DEMs occur in areas where the multistation lacked vision of certain objects of the city model such as walls, or on the edges of the analysed area. Additionally, the georeferencing results from Photoscan show that the DEMs based on normal light condition images have slightly lower georeferencing errors than the DEMs with lighting. It has been concluded that it is difficult to say whether file formats have any noticeably effect on the uncertainty of digital elevation models. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17193application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic UAV
UAS
DEM
RAW format
Other Civil Engineering
Annan samhällsbyggnadsteknik
spellingShingle UAV
UAS
DEM
RAW format
Other Civil Engineering
Annan samhällsbyggnadsteknik
Spring, Ted
Uncertainty comparison of Digital Elevation Models derived from different image file formats
description Unmanned Aerial Systems (UAS) have become increasingly popular recently for surveying and mapping because of their efficiency in acquiring remotely sensed data in a short amount of time and the low cost associated with them. They are used to generate digital elevation models (DEM) derived from aerial photography for various purposes such as the documentation of cultural heritage sites, archaeological surveying or earthwork volume calculations. This thesis investigates the possible effects different file formats may have on the quality of elevation models. In this thesis, an UAS survey was simulated using a digital camera to produce six DEMs based on JPEG, TIFF and RAW format in Agisoft Photoscan by taking two sets of images of a city model, in different light conditions. Furthermore, a reference DEM was produced in Geomagic Studio using data from a Leica Nova MS50 Multistation. The DEMs were then compared in Geomagic Control. The results from the 3D comparison in Geomagic Control show that the standard deviation of all elevation models is 4 mm with the exception of the elevation model derived from raw-edited images taken with lighting, which has a standard deviation of nearly 6 mm. Also, all of the models have an average deviation of 0.4 mm or less. The significant deviations in all DEMs occur in areas where the multistation lacked vision of certain objects of the city model such as walls, or on the edges of the analysed area. Additionally, the georeferencing results from Photoscan show that the DEMs based on normal light condition images have slightly lower georeferencing errors than the DEMs with lighting. It has been concluded that it is difficult to say whether file formats have any noticeably effect on the uncertainty of digital elevation models.
author Spring, Ted
author_facet Spring, Ted
author_sort Spring, Ted
title Uncertainty comparison of Digital Elevation Models derived from different image file formats
title_short Uncertainty comparison of Digital Elevation Models derived from different image file formats
title_full Uncertainty comparison of Digital Elevation Models derived from different image file formats
title_fullStr Uncertainty comparison of Digital Elevation Models derived from different image file formats
title_full_unstemmed Uncertainty comparison of Digital Elevation Models derived from different image file formats
title_sort uncertainty comparison of digital elevation models derived from different image file formats
publisher Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad
publishDate 2014
url http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17193
work_keys_str_mv AT springted uncertaintycomparisonofdigitalelevationmodelsderivedfromdifferentimagefileformats
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