nbul 2004 
ilding are 
e building 
and figure 
f building 
H Fig 41 
\RCH 
technology 
und targets, 
ser-scanned 
tion of this 
f efficient 
s from the 
e extraction 
ng data. An 
osed. With 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004 
  
auxiliary height value, various important objects in the range 
image are differentiated and feature extraction, 3D 
reconstruction and visualization can be realized with further 
processing. 
Further research along this line may include, for example, 
improving the reliability of the algorithms to handle the 
extraction of complex objects: developing a user interface to 
facilitate the use of semi-automatic editing process when the 
use of an automatic process is problematic; to detect detailed 
structures of a building; to assess the accuracy of the detected 
details; and to integrate such data with other sources such as 
multi-spectral images or GIS data to reconstruct objects. 
REFERENCES 
Ackermann F, 1999. Airborne Laser Scanning-Present Status 
And Future Expectations. ISPRS Journal Of Photogrammetry 
And Remote Sensing, 54, pp.64-67. 
Brunn A; Weidner U, 1997. Extracting Buildings From Digital 
Surface Models. IAPRS, Part3-4w2, pp. 27-34. 
Erik N, 1997. Determination Of Mean Tree Height Of Forest 
Stands Using Airborne Laser Scanner Data. ISPRS Journal Of 
Photogrammetry And Remote Sensing, 52, pp.49-56. 
Flood M, Gutelius B, 1997. Commercial Implications Of 
Topographic Terrain Mapping Using Scanning Airborne Laser 
Radar. Photogrammetric Engineering & Remote Sensing, 63(4), 
pp. 327-329, 363-366. 
Haala N, Brenner C, 1997. Generation Of 3d City Models From 
Airborne Laser Scanner Data. Tallin: Earsel Workshop. 
Killian J, Halla N, English M, 1996. Capture And Evaluation 
Of Airborne Laser Scanner Data. IAPRS, 31(B3), pp.: 385-388. 
Kraus K, Pfeifer N, 1998. Determination Of Terrain Models In 
Wooded Areas With Airborne Laser Scanner Data. ISPRS 
Journal Of Photogrammetry & Remote Sensing, 53(4), pp. 
193-203. 
Li BJ, Fang ZX, and Ren J, 2003. Extraction Of Building'S 
Feature From Laser Scanning Data. Geomatics And 
Information Science Of Wuhan University, 28(1), pp. 65-70. 
Li Q.Q., Li B.J., and Chen J., 2000. Research On Laser Range 
Scanning And lts Application. Journal Of Wuhan Technical 
University Of Surveying And Mapping, 25(5), pp. 387-392. 
Lu XS, Li QQ, Feng WH, Li CM, Et AI, 2003. Vehicle-Borne 
Urban Information Acquisition And 3d Modeling System. 
Engineering Journal Of Wuhan University, 36(3), pp. 76-80. 
Manandhar D, Shibasaki R, 2001. Vehicle-Borne Laser 
Mapping System (Vlms) For 3d Urban Gis Database.7" Int’L 
Computers In Urban Planning And Urban Management Conf. 
Cupum, University Of Hawaii At Manoa, USA, CD-ROM 
Publication. 
Murakami H, Nakagawa K, Shibata T, 1998. Potential Of An 
Airborne Laser Scanner System For Change Detection Of 
Urban Features And Orthoimage Development. IAPRS, Vol.32, 
Part4, pp.422-427. 
Pal N R, Pal S K, 1993. A Review On Image Segmentation 
Technology. Pattern Recognition, 26, pp.1277-1294. 
Vailaya A, Figueiredo M, Jain A K, 2001. Image Classification 
For Content-Based Indexing IEEE Transactions On Image 
Processing, 10(1), pp. 117-130. 
Wehr A, Lohr U, 1999. Airborne Laser Scanning- An 
Introduction And Overview. ISPRS Journal Of 
Photogrammetry And Remote Sensing, 54, pp.68-82. 
Weidner U, 1996. An Approach To Building Extraction From 
Digital Surface Models. Vienna: Proceedings Of The 18th 
ISPRS Congress, Comm. 3, WG 2, pp. 924-929. 
Zhang Yu-Jin. A, 1996 Classification And Comparison Of 
Evaluation Technologys For Image Segmentation. China 
Journal Of Image And Graphics, 1(2), pp. 151-156. 
ACKNOWLEDGEMENTS 
The work described in this paper was fully supported by the 
Hi-Tech Research and Development Program of China (Project 
No.: 2001AA131020) and by funding from the National 
Natural Science Foundation of China (Project No.: 40301040), 
by funding from the CRC scheme of Research Grants Council 
of the Hong Kong SAR (Project No. 3 ZB40), The Hong Kong 
Polytechnic University Research Fund (Project No.: 1.34.9709). 
The test data 1s from the 863 Project (No.: 2001AA131020).