Roof plane extraction in gridded digital surface models

Conference paper (2009)

Authors

Contributors

T.H. Kolbe (contributor)
H. Zhang (contributor)
S. Zlatanova (contributor)
Faculty
Aerospace Engineering (Aerospace Engineering) (TU Delft)
Copyright: © 2009 Gorte, B.
More Info
expand_more

Published Date

27-07-2009

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Source:

Proceedings 'GeoWeb 2009 Academic Track - Cityscapes?, Vancouver, Canada, 27-31 July 2009; IAPRS, XXXVIII (3-4/C3), 2009

Faculty

Aerospace Engineering

Abstract

With the rapid improvement of LIDAR systems regarding point density and accuracy in relation to the (application dependent) requirements, robustness, efficiency and automation of the modeling process are becoming more important than achieving the highest possible accuracy and modeling detail from the available LIDAR data. Therefore we opt for development of a 2D grid based LIDAR data analysis approach. An important step is detection and parameterization of planar surfaces (roof elements). The paper reviews four methods, based on analysis of gradients, principal components, least squares and hough transforms, respectively. It introduces a series of improvements to the standard usage of each of those methods and shows results from synthetic and real data.