ibul 2004 
angle a 
attitude 
'le from 
ate axis 
d Faces 
we can 
d Koa 
e right- 
lowing 
point a 
e points 
and S7, 
4, dandk 
in found 
out any 
e can't 
cinds of 
del and 
f digital 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
  
map, we can draw the length information we need, and then 
compute the scale. 
Following the above computing process, we have get all the 
necessary parameters and built the formula transforming the 
image length to real length. 
4. 3D MODELING OF BUILDINGS 
On the image which is acquired by UAVRS-II on the 300 
meters height, as showed in Fig.7, we derived the height and 
texture information with the aid of 2D GIS database, and 
reconstructed the 3D models of buildings. Fig.8 shows detail of 
the models. 
  
Fig.7 The Image of UAVRS- 
  
Fig.8 Reconstructed 3D Models 
5. CONCLUSIONS 
Today with the development of Digital Earth, Digital City and 
other digital projects, we have to be up against the puzzle that 
how to acquire the 3D information of city efficiently and 
quickly. In this paper, we have design a 3D reconstruction 
method of city buildings from single UAV image, and have also 
built some accurate models to test the feasibility and 
practicability of this method. The practice proved that it is an 
effectual means to solve the bottle-neck problem of 3D city 
modeling. 
References 
No 
Armin Gruen. TOBAGO--A semi-automated approach for 
the generation of 3D building models[J]. ISPRS journal of 
Photogrammetry and Remote Sensing, 1998,53 
Claus Brenner, Norbert Haala. Rapid acquisition of virtual 
reality city models from multiple data sources[J]. 
International archives of Photogrammetry and Remote 
Sensing, Vol. XXX!1,1998 
Chen Zen, Tseng Din-Chang, et al. A Simple Vision 
Algorithm for 3-D Position Determination Using a Single 
Calibration Object[J]. Pattern Recognition, 1989, Vol.22 
No.2:173-187 
Frank A.van den Heuvel. Exterior Orientation Using 
Coplanar Parallel Lines[C]. Proceedings of the 10". 
Scandinavian Conference on Image Analysis, 
Lappeenranta,1997,ISBN 951-764-145-1:71-78 
Frank A.van den Heuvel. Estimation of Interior 
Orientation Parameters from Constraints on Line 
Measurements in a Single Image[J]. International Archives 
of Photogrammetry and Remote Sensing, 1999, Vol.32.Part 
5:81-88 
Gunter Pomaska. Implementation of digital 3D models in 
building surveys based on multiimage photogrammetry[J]. 
International archives of Photogrammetry and Remote 
Sensing, Vol. XXX! ,1996 
Sun Jie, Lin Zongjian, et al. Introduction of UAVRS- 
II[J].Remote Sensing Information, 2003,1:49-50 
T.E. Chen, R. Shibasaki. 3D modeling and visualization of 
building in area by linear photogrammetry[C ]. Proceeding 
of UM3',Japan,1998 
Tatsunori Sada. A three dimensional measurement system 
using digital still camera and RTK-GPS[J]. International 
archives of Photogrammetry and Remote Sensing, Vol. 
XXX:!1,1998 
Zhu Hongliang, et al. Data acquisition for 3D city model 
reconstruction[J]. ^ Geotechnical Investigation and 
Surveying, 2002, No.2 
Zhang Jianging, Zhang Shixing. 3D 
Reconstruction of House with Single Image[C]. 
Proceedings of the 2001  Automatization Digital 
Engineering Surveying Symposium, 2001:112-118 
Zhang Zuxun, 
Zhang Zuxun, et al. A method for determining orientation 
parameters in image-based reconstruction of architectural 
scenes. Geomatics and Information Science of Wuhan 
University, Vol.28 No.3, 2003