Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B5-2)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Voi. XXXVII. Part B5. Beijing 2008 
In the same way, using the drawing TIN and rendering 
technology of OpenGL and the TIN vertex’s 3D and texture 
coordinates, the system realizes the texture mapping for the 
digital image and TIN model. Figure 3 is the result. The left is 
the digital image, and the right is the textured TIN model. 
technology, coordinate transformation technology, displaying 
list technology and other OpenGL technology. 
6. CONCLUSIONS 
4.3 Orthophoto Map 
Generally speaking, making orthophoto map uses digital 
differential rectification method. However, there is a little 
difference in the paper that range image replaces the DEM. 
Here uses the digital differential rectification reverse principle 
to rectify the digital image. First, we can obtain the point 3D 
coordinates of square grids from the base level of range image 
by the conversion equation. Then, using the collinearity 
equation above calculated to obtain these points image 
coordinates. At the same time, we also use the best neighbour 
point method to ascertain the final image coordinates. Finally, 
putting the image coordinates to the point of square grids of 
base level of range image. Thus, the digital image has been 
rectified. 
Orthophoto Map’s display also uses the texture mapping, plane 
drawing and rendering technology of OpenGL. Figure 4 is the 
result of Orthophoto Map. The left is the digital image, and the 
right is the Orthophoto Map. 
Figure 4 Orthophoto Map 
5. EXPERIMENT SYSTEM FUNCTION 
INTRODUCTION 
In this paper, VC++6.0 and OpenGL are used to develop this 
experiment system. User interface has divided into two display 
windows. The left display digital image, and the right display 
point cloud, textured TIN model and textured point cloud. 
System can read lots of data formats of digital image and range 
image files; System has realized rotation, zoom and translation 
functions for the object; system applies double buffer 
technology, texture mapping technology, drawing geometry 
For the characteristic of LIDAR data’s and the requirement of 
application field, the paper puts forward a new method to 
achieve the data fusion for the LIDAR and digital image, and 
the involved principle and method have been testified according 
to the experiment system. Following innovation points and 
results can be obtained. 
• System has realized corresponding point interactive 
selecting in the single document and multi-view interface. 
• DLT of Iterative Least Squares can be used to calculate 
the orientation elements of exterior and interior and the 
lens distortion parameter. 
• Registration of digital image and LIDAR data has been 
actualized by using best neighbour point method 
• Using texture mapping and other OpenGL technology to 
realize data fusion and display. 
• The Orthophoto Map could have been got by using this 
experiment system. 
Although this paper has achieved the data fusion for the image 
and LIDAR according by the experiment system, some 
questions still exit. Because of the different resolution between 
the digital image and point cloud, a better method about 
improving matching precision of corresponding point should be 
studied. And we should add more lens distortion to improving 
registration quality of image and LIDAR. At the same time, the 
system also should be perfected in function, frame and other 
aspects. 
REFERENCES 
Zhang, J., 2003. photogrammetry. Wuhan University Press, pp. 
158-162 
Feng, W., 2002. Clouse-Range Photogrammetry, Wuhan 
University Press, pp. 163-190 
Wang, Y., Guo, M., Wang, G.., 2006. making orthographic 
images of ancient architecture with LIDAR technique. Journal 
of Beijing Institute of Civil Engineering and Architecture, pp. 
19-22 
Wang, Y., Chen, X., Mu, Y., 2005. precise survey the major 
timberwork of ancient building using 3D laser scanner. Paper- 
compilation of proseminar on Modern Engineering Survey 
technology, pp. 297-303 
ACKNOWLEDGEMENTS 
Funding Project for Academic Human Resources Development 
in Institutions of Higher Learning Under the Jurisdiction of 
Beijing Municipality, PHR (IHLB)-1000162006221 
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