Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B1-1)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008 
cing led to reliable results. In addition, for bundle adjustment ex 
periments, expanding the error ellipse and restricting the weight 
matrix in the object space for linear features using different iden 
tification codes for the line end points resulted in relatively high 
er errors in comparison to the other used approaches. However, 
results were still acceptable. 
Future research will focus on the automation of the extraction of 
linear and areal features from photogrammetric and LiDAR data 
as well as establishing the correspondence between conjugate 
primitives. In addition, we will apply the proposed methodologies 
on line cameras. Moreover, we will study the possibility of using 
the proposed approaches for both LiDAR and camera calibration. 
Furthermore, we will utilize the EOP extracted from the proposed 
approaches to generate true orthophotos. Finally, we will 
investigate the development of new visualization tools for an 
easier portrayal of the registration outcomes such as draping 
orthophotos on LiDAR data to provide 3D textured models. 
ACKNOWLEDGEMENTS 
The authors would like to thank the GEOIDE (GEOmatics for 
Informed Decisions) Network of Centers of Excellence of Canada 
for the financial support of this research (SII#43). 
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