Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Modeling building height errors in 3D urban environments
Download
index.pdf
Date
2007
Author
Özge, Ergin
Metadata
Show full item record
Item Usage Stats
186
views
96
downloads
Cite This
A great interest in 3-D modeling in Geographic Information Technologies (GIS) has emerged in recent years, because many GIS related implementations, ranging from urban area design to environmental analysis require 3-D models. Especially the need for 3-D models is quite urgent in urban areas. However, numerous applications in GIS only represent two-dimensional information. The GIS community has been struggling with solving complex problems dealing with 3-D objects using a 2-D approach. This research focused on finding most accurate method which is used for getting height information that is used in 3D modeling of man made structures in urban areas. The first method is estimating height information from floor numbers of the buildings data from municipal database systems. The second method is deriving heights of buildings from Digital Elevation Model (DEM) that is generated from stereo satellite images. The third method is measuring height values of the buildings from 3D view of stereo IKONOS satellite images by operators. The comparisons between these three methods are done with respect to height data collected from field study, and according to these comparisons, the amount of the error is determined. The error is classified according to floor numbers of buildings, so that, the quantified errors can be applied for similar works in future. Lastly, the third method is utilized by the assistance of 10 people who have different experience level about 3D viewing, in order to see the error amount changes according to different operators. Several results are presented with a discussion of evaluation of the methods applied. It is found that, if there is an updated floor number database, obtaining building height is the most accurate way from this database. The second most accurate method is found to be getting height information by using 3D view of stereo IKONOS images through experienced users.
Subject Keywords
Environmental sciences
,
General science.
URI
http://etd.lib.metu.edu.tr/upload/12609097/index.pdf
https://hdl.handle.net/11511/17318
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
A New Mathematical Approach in Environmental and Life Sciences: Gene-Environment Networks and Their Dynamics
Weber, Gerhard Wilhelm; Alparslan-Gok, S. Z.; Soyler, B. (Springer Science and Business Media LLC, 2009-04-01)
An important research area in life sciences is devoted to modeling, prediction, and dynamics of gene-expression patterns. As clearly understood in these days, this enterprise cannot become satisfactory without acknowledging the role of the environment. To a representation of past, present, and most likely future states, we also encounter measurement errors and uncertainties. This paper surveys and improves recent advances in understanding the foundations and interdisciplinary implications of the newly intro...
Geographic information system-based visualization system for planning and monitoring of repetitive construction projects
Sönmez, Rifat (Canadian Science Publishing, 2008-11-01)
This study presents a visualization system based on a geographic information system (GIS) for planning and monitoring the progress of construction projects that are repetitive due to their geometrical layout. A prototype system was developed and applied to an actual pipeline project to demonstrate the advantages of the proposed approach. The primary advantage of the system is improved visualization of geographical conditions and their impact on the progress rate. Enhanced visual representation of the schedu...
Stimulating Different Types of Eco-Innovation in the UK: Government Policies and Firm Motivations
Demirel, Pelin; Kesidou, Effie (Science And Technology Policies Research Center, Middle East Technical University (Ankara, Turkey), 2012)
In this paper, we adopt a recent OECD framework and examine the role of external policy tools and internal firm specific factors for stimulating three different types of eco-innovations that range on a spectrum of lower to higher technological and environmental impact: End-of-Pipeline Pollution Control Technologies, Integrated Cleaner Production Technologies and Environmental R&D. Using a novel firm-level dataset from a DEFRA survey, we estimate a Tobit model, which provides empirical evidence showing that ...
Simulation of Contaminant Migration Through a Soil Layer Due to an Instantaneous Source
Çokça, Erdal; Unutmaz, Berna (Wiley, 2011-06-01)
Analytical and numerical simulation models help civil and environmental engineering students to understand the physical and chemical processes that influence contaminant transport through a saturated soil layer, including advective and dispersive transport as well as sorption. The basic principles for simulation of contaminant migration through a saturated soil were introduced. Using the spreadsheet program MS Excel, based on existing analytical solution for two-dimensional transport of contaminants in a sa...
Bayesian Learning and Relevance Vector Machines Approach for Downscaling of Monthly Precipitation
OKKAN, UMUT; İnan, Gül (American Society of Civil Engineers (ASCE), 2015-04-01)
In this study, statistical downscaling of large-scale general circulation model (GCM) simulations to monthly precipitation of Kemer Dam, in Turkey, has been performed through relevance vector machines (RVMs). All possible regression methods along with statistical measures have been used to select potential predictors through reanalysis data providing air850, hgt850, and prate variables as the optimal. The determined explanatory variables are then used for training RVM-based statistical downscaling model. A ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Özge, “Modeling building height errors in 3D urban environments,” M.S. - Master of Science, Middle East Technical University, 2007.