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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
[4] El-Sheimy, N., 1999, Mobile multi-sensor systems: The
new trend in mapping and GIS applications, IAG Journal
of Geodesy, Vol.121, Geodesy Beyond 2000: The
challenges of the first decade. Springer Verlag Berlin
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[5] Ellum, C., N. El-Sheimy, 2000, The development of a
backpack mobile mapping system, International Archives
of Photogrammetry and Remote Sensing, vol. XXXII, Part
B2, pp.184-191, Amsterdam.
[6] He, G, GOrvets, 2000, Capturing road network data using
mobile mapping technology, International Archives of
Photogrammetry and Remote Sensing, vol. XXXII, Part
B2, pp.272-277, Amsterdam.
[7] Konno, T, et al, 2000, A New Approach to Mobile
Mapping for Automated Reconstruction of Urban 3D
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[9] Zhao, H., R. Shibasaki, 2003a, Special Issue on Computer
Vision System : Reconstructing Textured CAD Model of
Urban Environment using Vehicle-borne Laser Range
Scanners and Line Cameras, Machine Vision and
Applications, 14 (2003) 1, 35-41.
[10] Zhao, H., R. Shibasaki, 2003b, A New Interface for
Extracting Urban Spatial Objects using Vehicle-borne
Laser and CCD Cameras, Proc. of Computers on Urban
Planning and Urban Management, May 2003 Sendai,
Japan.
A X igix
T — c me |
- zi
"UH 4» ie = {
| 1. Manually draw the banndary ofa target object.
sw T
Line Image |
JIgix
2. Fit a planner polygon using the
corresponding laser points.
3. Project and re-sample line image
pixels on the planner polygon to
generate a texture image.
i SN J
Figure 9. An example of object extraction using a semi-
automated interface
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Figure 10. A view of textured building as well as the objects
extracted from the VLMS data