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. Vol. XXXVII. Part B5. Beijing 2008 
While the overall segmentation features improvement to the 
basic ones, both features suggest that the segmentation along the 
proposed scheme can be further pursued in several directions. 
These include inclusion of additional cues that may feature 
other elements characterizing natural scenes, introducing 
merging schemes for segments based on connectivity and forms 
of similarity, and the analysis of occlusions as a means merge 
disconnected segments that belong in fact to the same object. 
4. CONCLUDING REMARKS 
The paper proposed an approach for the segmentation of 
terrestrial laser point clouds while assembling and integrating 
different data sources. The proposed model offers a general 
framework in the sense that it can utilize different features and 
can be customized according to application requirements. 
Overall, the results show that integration of different cues and 
information sources into a laser scanning segmentation has 
managed providing improved results in relation to each of the 
individual channels. 
The model demonstrated that using an intuitive scheme for 
selecting the best segments from different segmentation maps 
provides satisfactory results. The solution for weighting the 
importance of different cues to the overall segmentation is 
modeled as a crisp decision favoring dominant segments in 
object space as long as they do not violate preset rules. Future 
work in this regards will pursue alternative weighting schemes 
for the data arriving from the individual channels. 
ACKNWOLEDGEMENT 
The authors would like to thank Dr. Claus Brenner for making 
the data used for our tests available. 
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