DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

3D-Building Reconstruction with Different Height Levels from Airborne LiDAR Data

Karam, Samer (2017) 3D-Building Reconstruction with Different Height Levels from Airborne LiDAR Data. Master's, University of Stuttgart.

[img] PDF


More than 50% of the world population inhabit in urban or suburban areas, thus detailed and upto-date building information is of great importance to every resident, government agencies, and private companies (utilities, real estates and etc.). 3D city models become increasingly important and necessary for supporting numerous applications such as crisis management, urban planning and so on (Verma u. a. [2006]). As LiDAR (light detection and ranging) considers a superior technology for 3D data acquisition from Earth’s surface and delivers point clouds with high quality. This research is conducted by merely utilizing LiDAR data of an interested area without another data sources such as a cadastral map or photogrammetric aerial images. In this thesis, a developed automated data-driven approach is proposed 3D building models from airborne LiDAR data starting from segmentation of the point cloud, extracting roof patches and ending with regularization of the patches boundary to extract 3D model. Unlike photogrammetry, it is well known that LiDAR data does not record exact position of the edges of buildings. So the first challenge in this research is to extract a relatively accurate building boundaries from 3D point clouds LiDAR data and obtained results are evaluated by comparing with footprints in the cadastral map. The second challenge is to deal with step edges among the adjacent flat roof patches even with the small height differences and solve overlapping problem in 3D space. For evaluation, the methodology is applied on another point cloud with different resolution. Also the extracted building polygons are compared with reference building polygons from cadastral map using a PoLiS metric based on polygon comparison (Avbelj u. a. [2015]). In addition, the area of individual roof patches and the area of whole footprints are computed and compared with their correspondences from cadastral map. Furthermore, RMSE distances (root mean square estimate) from raw LiDAR point clouds to the estimated 3D roof planes are computed.

Item URL in elib:https://elib.dlr.de/111079/
Document Type:Thesis (Master's)
Title:3D-Building Reconstruction with Different Height Levels from Airborne LiDAR Data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Date:January 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:93
Keywords:3D-Building Reconstruction, Airborne LiDAR Data
Institution:University of Stuttgart
Department:Institute for Photogrammetry, Dept. of Gematics Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:16 Feb 2017 14:02
Last Modified:31 Jul 2019 20:08

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.