complete description of object. In this system, users can
define various object types using object-oriented features.
Because of the distributed architecture of the software system,
it provides a multi-user measurement environment which
facilitates data sharability and teamwork. After generating the
database, data query and addressing can be expedited by using
3D data visualization techniques. Figure 3 shows the area in
Laval, Quebec, Canada, where the sample data set was
collected in 1994. Figure 4 is a geo-referenced image and a
view of the extracted 3D objects at the same location.
am
Figure 3: The test area
7. CONCLUSIONS
The purpose of developing this system is to enable fast,
accurate and efficient object measurement from images from a
moving vehicle. Instead of time-consuming measurements in
the field, they can be performed using georeferenced stereo
images in the comfort of the office. It makes the data
recording procedure highly streamlined and automated. With
strong referencing in the data processing, quality checking is
very easy because objects are presented visually on-line.
Assisted with automated image matching techniques, the
interactive procedure requires much less effort, attention and
professional skills. By integrating GIS databases in the system,
the measurement data is effectively and consistently managed.
Not only does the system create a comfortable surveying
environment, it drastically reduces costs as well.
8. ACKNOWLEDGMENTS
The support of GEOFIT Inc., Laval, Quebec and the National
Sciences and Engineering Research Council of Canada
(NSERC) is gratefully acknowledged.
9. REFERENCES
El-Sheimy, N. and K.-P. Schwarz, 1993. Kinematic
Positioning in Three Dimension Using CCD Technology,
VNIS'93 conference, October 12-15, 1993.
236
OO
Figure 4: Geo-referenced image and extracted 3D
visualization
Li, R., 1993. 3D GIS: A Simple Extension in the Third
Dimension? Proceedings of ASPRS/ACSM convention’93,
pp.218-227.
Li, R., 1992. Building Octree Representations of 3D Objects
in CAD/CAM by Digital Image Matching Techniques. Journal
of Photogrammetric Engineering and Remote Sensing, Vol.58,
No.12, pp.1685-1691.
Li, R., M. A. Chapman and W. Zou, 1996. Optimal
Acquisition of 3D Object Coordinates From Stereoscopic
Image Sequences, Int. Arc. of ISPRS'96 Com. III, Vienna.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996
Li, R
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