World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Automated Modeling of 3D Building Roofs Using Image and Lidar Data : Volume I-4, Issue 1 (16/07/2012)

By Demir, N.

Click here to view

Book Id: WPLBN0004013661
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Automated Modeling of 3D Building Roofs Using Image and Lidar Data : Volume I-4, Issue 1 (16/07/2012)  
Author: Demir, N.
Volume: Vol. I-4, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Demir, N., & Baltsavias, E. (2012). Automated Modeling of 3D Building Roofs Using Image and Lidar Data : Volume I-4, Issue 1 (16/07/2012). Retrieved from http://www.worldebookfair.org/


Description
Description: Institute of Geodesy and Photogrammetry, ETH Zurich, CH-8093, Zurich, Switzerland. In this work, an automated approach for 3D building roof modelling is presented. The method consists of two main parts, namely roof detection and 3D geometric modelling. For the detection, a combined approach of four methods achieved the best results, using slope-based DSM filtering as well as classification of multispectral images, elevation data and vertical LiDAR point density. In the evaluation, the combination of the four methods yields 94% correct detection at an omission error of 12%. Roof modelling is done by plane detection with RANSAC, followed by geometric refinement and merging of neighbouring segments to clean up oversegmentation. Walls are then detected and excluded, and the roof shapes are vectorised with the alpha-shape method. The resulting polygons are refined using 3D straight edges reconstructed by automatic straight edge extraction and matching, as well as 3D corner points constructed by intersection of the 3D edges. The results are quantitatively assessed by comparing to ground truth manually extracted from high-quality images, using several metrics for both the correctness and completeness of the roof polygons and for their geometric accuracy. The median value of correctness of the roof polygons is calculated as 96%, while the median value of completeness is 88%.

Summary
AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA

 

Click To View

Additional Books


  • A Parallel Implementation Framework for ... (by )
  • Analyzing the Shape Characteristics of L... (by )
  • Automatic Tool Mark Identification and C... (by )
  • Qtrajectories: Improving the Quality of ... (by )
  • A Vomr-tree Based Parallel Range Query M... (by )
  • Geometrical Adjustment Towards the Align... (by )
  • Image-based Surveying and Modeling of th... (by )
  • A Fast and Simple Method of Building Det... (by )
  • Efficient Reconstruction of Large Unorde... (by )
  • Orthoimages of the Outer Walls and Tower... (by )
  • Points Clouds Generation Using Tls and D... (by )
  • Towards Automatic Validation and Healing... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Fair are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.