High resolution digital elevation model generation by semi global matching approach

The photogrammetric point cloud is a revolutionary product that represents an important breakthrough in Photogrammetry. The purpose of this research is to establish the workflow in the generation of Digital Elevation Model (DEM) from the photogrammetric point cloud. The photogrammetric datasets were...

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Main Author:	Shaffie, Siti Munirah
Format:	Thesis
Language:	English
Published:	2015
Subjects:	HD1394-1394.5 Real estate management
Online Access:	http://eprints.utm.my/id/eprint/53552/1/SitiMunirahShaffieMFGHT2015.pdf
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spelling	my-utm-ep.535522020-07-20T02:47:41Z High resolution digital elevation model generation by semi global matching approach 2015-06 Shaffie, Siti Munirah HD1394-1394.5 Real estate management The photogrammetric point cloud is a revolutionary product that represents an important breakthrough in Photogrammetry. The purpose of this research is to establish the workflow in the generation of Digital Elevation Model (DEM) from the photogrammetric point cloud. The photogrammetric datasets were acquired using Digital Modular Camera 01 (DMC 01) over the Putrajaya area. The main steps for Digital Elevation Model generation using the digital photogrammetric software were involved post processing image and Global Positioning System (GPS) and inertial measurement unit (IMU), aerial triangulation, and photogrammetric point cloud generation, point cloud editing and surfacing. The whole process was successfully performed and the output was delivered in the raster DEM format. The generated Digital Elevation Model were statistically compared with DEM’s available from airborne Light, Detect and Ranging (LiDAR) technique and ground control points (GCP’s) to measure the accuracy of DEM produced by Semi Global Matching(SGM) using Root Mean Square Error (RMSE) and F-test analysis. Based on the analysis, horizontal accuracy meets the expected accuracy; 0.5-1.0 Ground Sampling Distance (GSD) of images and sub-meter accuracy were obtained for vertical accuracy. In closing, elevation data generated from the SGM approach with this accuracy meet the standard practice of Department Survey and Mapping Malaysia (DSMM) for vertical direction (height) requirement. 2015-06 Thesis http://eprints.utm.my/id/eprint/53552/ http://eprints.utm.my/id/eprint/53552/1/SitiMunirahShaffieMFGHT2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:84504 masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HD1394-1394.5 Real estate management
spellingShingle	HD1394-1394.5 Real estate management Shaffie, Siti Munirah High resolution digital elevation model generation by semi global matching approach
description	The photogrammetric point cloud is a revolutionary product that represents an important breakthrough in Photogrammetry. The purpose of this research is to establish the workflow in the generation of Digital Elevation Model (DEM) from the photogrammetric point cloud. The photogrammetric datasets were acquired using Digital Modular Camera 01 (DMC 01) over the Putrajaya area. The main steps for Digital Elevation Model generation using the digital photogrammetric software were involved post processing image and Global Positioning System (GPS) and inertial measurement unit (IMU), aerial triangulation, and photogrammetric point cloud generation, point cloud editing and surfacing. The whole process was successfully performed and the output was delivered in the raster DEM format. The generated Digital Elevation Model were statistically compared with DEM’s available from airborne Light, Detect and Ranging (LiDAR) technique and ground control points (GCP’s) to measure the accuracy of DEM produced by Semi Global Matching(SGM) using Root Mean Square Error (RMSE) and F-test analysis. Based on the analysis, horizontal accuracy meets the expected accuracy; 0.5-1.0 Ground Sampling Distance (GSD) of images and sub-meter accuracy were obtained for vertical accuracy. In closing, elevation data generated from the SGM approach with this accuracy meet the standard practice of Department Survey and Mapping Malaysia (DSMM) for vertical direction (height) requirement.
format	Thesis
qualification_level	Master's degree
author	Shaffie, Siti Munirah
author_facet	Shaffie, Siti Munirah
author_sort	Shaffie, Siti Munirah
title	High resolution digital elevation model generation by semi global matching approach
title_short	High resolution digital elevation model generation by semi global matching approach
title_full	High resolution digital elevation model generation by semi global matching approach
title_fullStr	High resolution digital elevation model generation by semi global matching approach
title_full_unstemmed	High resolution digital elevation model generation by semi global matching approach
title_sort	high resolution digital elevation model generation by semi global matching approach
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2015
url	http://eprints.utm.my/id/eprint/53552/1/SitiMunirahShaffieMFGHT2015.pdf
_version_	1747817579780505600

High resolution digital elevation model generation by semi global matching approach

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