International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
4. CONCLUSIONS 
The increased spatial resolution of Quickbird imagery is a 
powerful information source for the identification of buildings, 
but the complexity of an urban scene makes it difficult to get a 
satisfactory results based only on spectral information. On the 
other hand, laser scanner data are rich in spatial information, 
but poor on spectral information, which makes it difficult to use 
only altitude data to separate object with the same height. In the 
present study, the integrated use of both data sources was 
presented. The great amount of data and the different nature of 
the features require a different treatment than the classical pixel 
based analysis. Therefore, the object oriented approach was 
used. In the analysis of the segments, spatial features, like form 
and texture parameters were not sufficient to classify buildings. 
The best results were obtained using laser data, because the 
objects can be well delineated in a nDSM. The separation of 
trees and buildings can be performed using the spectral 
information of the satellite image. In this manner, both data 
cooperate and the best aspect of each data source can be used. 
The resulting thematic map does not allow to identify each 
building, but only blocks. The results encorage to use high 
resolution imagery together with laser scanner data to locate 
new buildings in urban regions. It ca be used in a second step, 
where the geometry of the buildings can be reconstructed, 
analyzing only a small part of the image arround the selected 
regions. 
5. REFERENCES 
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Baatz, M. and Schüpe, A. 2000. Multiresolution 
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6. ACKNOWLEDGEMENTS 
The authors would like to thank the support of the Federal 
University of Paraná and CNPq for providing the scholarship 
and finantial support for the research, and also LACTEC and 
Tese for the cooperation. 
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