Full text: Technical Commission VII (B7)

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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.
	        
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