The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
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4. CONCLUSIONS
An automatic solution for DBM generation for complex
structures from raw LiDAR data is introduced through four
main procedures: ground/non-ground point separation; building
hypothesis generation; segmentation of planar patches and
intermediate boundary generation; and boundary refinement
and 3D wire frame generation. First, a robust ground/non
ground point classification technique is proposed based on the
novel idea of detecting points that produce occlusions. A
building hypothesis generation procedure is devised based on
the geometric characteristics of man-made structures. A
segmentation procedure which simultaneously considers
similarity attributes and proximity in the object space to derive
robust and accurate solution was then performed. In the last step
of the proposed methodology, several geometric constraints are
applied to delineate the boundaries and to construct 3D wire
frames for complex structures. The experimental results prove
that the proposed methodology can provide a relatively accurate
solution from raw LiDAR data. Moreover, it is proved that the
limitation of the LiDAR data resolution causes deterioration of
the accuracy of DBM as well as loss of details, especially for
complex man-made structures. The limitations of the LiDAR
data in the generation of DBM can be overcome by
incorporating high resolution imagery into the procedures.
More rich semantic information from high resolution imagery
will help to improve the accuracy of the DBM and to detect
edge details of buildings. Therefore, further research on the
integration of LiDAR data and imagery will be investigated as
future work.
ACKNOWLEDGEMENT
We would like to thank the GEOIDE (GEOmatics for Informed
DEcisions) Network of Centers of Excellence of Canada
(SII#43) and ETRI (Electronics and Telecommunications
Research Institute) for their partial financial support of this
research.
REFERENCES
Brenner, C., and Haala, N. (1998). Rapid acquisition of virtual
reality city models from multiple data sources, International
Archives of Photogrammetry and Remote Sensing, 32(5): 323-
330.
Brunn, A., and U.Weidner, 1997. Extracting building from
digital surface models, International Archives of
Photogrammetry and Remote Sensing, 34(3-4): 27-34.
Ameri, B. , 2000. Automatic recognition and 3D reconstruction
of buildings from digital imagery, Deutsche Geodaetische
Kommission, Series C, No. 526.
Chang, Y.., C. Kim, A. Kersting, and A. Habib, 2007. New
approach for DTM generation from LiDAR data, The 28th
Asian Conference on Remote Sensing (ACRS), Kuala
Lumpur, Malaysia, (Nov. 12-16,2007).
Douglas, D.H., and T.K. Peucker, Algorithms for the reductions
of the number of points required to represent a digitized line or
its caricature, The Canadian Cartographer 10(2), pp. 112-122
(1973).
Filin, S., Pfeifer, N., 2006. Segmentation of airborne laser
scanning data using a slope adaptive neighborhood. In: ISPRS
Journal of Photogrammetry & Remote Sensing, 60, pp. 71-80.
Haala, N., Brenner, C., and Anders, K.-H. (1998). 3D urban
GIS from laser altimeter and 2D map data, International
Archives of Photogrammetry and Remote Sensing, 32(3/1): 339-
346.
Habib, A., E. Kim, and C. Kim, 2007. New methodologies for
true orthophoto generation, Photogrammetric Engineering and
Remote Sensing, 73(1), pp. 25-36.
Habib, A., Y. Chang, D. Lee. Occlusion-Based Methodology
for the Classification of LiDAR Data, Photogrammetric
Engineering & Remote Sensing Submitted on January 25, 2008
Jarvis, R. A., 1977. Computing the shape hull of points in the
plane, Proceedings of IEEE Computer Society Conference
Pattern Recognition and Image Process, pp.231-261
Rottensteiner, F., and C. Briese, 2002. A new method for
building extraction in urban areas from high resolution lidar
data, Proceedings of the ISPRS Commission III Symposium,
Graz, Austria, unpaginated CD-ROM.
Vosselman, G., and S. Dijkman, 2001. 3D building model
reconstruction from point clouds and ground plans,
International Archives of Photogrammetry and Remote Sensing,
34(3W4): 37-43.