Two algorithms for extracting building models from raw laser altimetry data
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Two new techniques for the determination of building models from laser altimetry data are presented. Both techniques work on the original laser scanner data points without the requirement of an interpolation to a regular grid. Available ground plan information may be used, but is not required. Closed solutions for the determination of the parameters of a standard gable roof type building model based on invariant moments of 2 1/2 -D point clouds are shown. In addition, the analysis of deviations between point cloud and model does allow for modelling asymmetries such as dorms on a gable roof. By intersecting planar faces nonparametric buildings with more complex roof types can also be modelled. The techniques were applied to a FLI-MAP laser scanner dataset covering an area of 500 X 250 m2 with a density of more than 5 points/m2. Within this region, all but one building could be modelled. An analysis of the variance of the parameters within a group of buildings indicates a precision in the range of 0.1-0.2 m.
Details
Original language | English |
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Pages (from-to) | 153-163 |
Number of pages | 11 |
Journal | ISPRS journal of photogrammetry and remote sensing |
Volume | 54 |
Issue number | 2-3 |
Publication status | Published - Jul 1999 |
Peer-reviewed | Yes |
Externally published | Yes |
Keywords
Subject groups, research areas, subject areas according to Destatis
ASJC Scopus subject areas
Keywords
- Airborne laser scanning, Building modelling, Geometric reasoning, Invariant moments