- surface
ting roof
correctly
>xtracted
ita. The
rt of it is
covered,
building
yuildings
' to one
ise II-2).
in these
m on the
€ drawn
observed
s of the
AR data
ement of
after the
nstructed
e tensor
ime and
uated by
esents a
dings are
ygons in
| the test
ur results
yond the
ngle roof
ple non-
; models
istruction
anes are
fore, and
one of the five buildings with multiple intersecting roof planes
is also reconstructed very well, since its ridge lines are
completely inferred from Lidar data. The other 33 buildings
cannot be reconstructed correctly since the important structural
lines on their roofs are covered by trees or the outlines of small
structures are not drawn on the topographic map. All of these
incorrect models should be refined manually, by
photogrammetry, outline estimation from Lidar data, and even
field work, for instance.
5. CONCLUSIONS
The residual tensor ellipses presented here can be regarded as
indicators to evaluate the quality of registration and to show
where manual modification may be needed during model
construction. The experiments have shown that the proposed
method for the building reconstruction procedure with Lidar
data and topographic map information, including feature
extraction, registration, reconstruction and quality analysis, can
be processed automatically and yields reliable results. Although
manual editing is needed in order to achieve refined 3D
building models, the results have shown that our method can
save time and expense for model construction by using tensor
ellipses.
6. REFERENCES
Filin, S. 2002. Surface clustering from airborne laser scanning
data. International Archives of Photogrammetry and Remote
Sensing, 34(3A), pp. 119-124.
Filin, S., Y. Kulakov and Y. Doytsher (2005). Application of
Airborne Laser Technology to 3D Cadastre. FIG Working
Week 2005 and GSDI-8, Cairo, Egypt.
Gruen, A. and D. Akca 2005. Least squares 3D surface and
curve matching. ISPRS Journal of Photogrammetry and Remote
Sensing, 59(3), pp. 151-174.
Klein, H. and W. Foerstner 1984. Realization of automatic error
detection in the block adjustment program PAT-M43 using
robust estimators. International Archives of Photogrammetry
and Remote Sensing, 25(A3a), pp. 234-245.
Lin, B. C., R. J. You and M. C. Hsu (2010). Building Model
Reconstruction With Lidar Data and Topographic Map by
Registration of Building Outlines. ISPRS TC VII Symposium —
100 Years ISPRS, Vienna, Austria, IAPRS.
Maas, H. G. and G. Vosselman 1999. Two algorithms for
extracting building models from raw laser altimetry data. ISPRS
Journal of Photogrammetry and Remote Sensing, 54(2-3), pp.
153-163.
Medioni, G., M. S. Lee and C. K. Tang (2000). A
computational framework for segmentation and grouping,
Elsevier Science, New York.
Overby, J, L. Bodum, E. Kjems and P. M. Ilsoe 2004.
Automatic 3D building reconstruction from airborne laser
scanning and cadastral data using Hough transform.
International Archives of Photogrammetry and Remote Sensing,
35(B3), pp. 296-302.
Park, J, I. Lee, Y. Choi and Y. J. Lee 2006. Automatic
Extraction of Large Complex Buildings Using Lidar Data and
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
Digital Maps. International Archives of Photogrammetry and
Remote Sensing, 36(3), pp. 148-154.
Pu, S. and G. Vosselman 2007. Extracting windows from
terrestrial laser scanning. International Archives of
Photogrammetry Remote Sensing and Spatial Information
Sciences, 36(3/W52), pp. 320-325.
Schenk, T. and B. Csatho 2002. Fusion of LIDAR data and
aerial imagery for a more complete surface description.
International Archives of Photogrammetry and Remote Sensing,
34(3A), pp. 310-317.
Vosselman, G. and S. Dijkman 2001. 3D building model
reconstruction from point clouds and ground plans.
International Archives of Photogrammetry and Remote Sensing,
34(3/W4), pp. 37-43.
You, R. J. and B. C. Lin 2011a. A Quality Prediction Method
for Building Model Reconstruction Using LiDAR Data and
Topographic Maps. IEEE Transactions on Geoscience and
Remote Sensing, 49(9), pp. 3471-3480.
You, R. J. and B. C. Lin 2011b. Building Feature Extraction
from Airborne Lidar Data Based on Tensor Voting Algorithm.
Photogrammetric Engineering & Remote Sensing, 77(12), pp.
1221-1231.