contains calibrated color information (RGB and near infrared) for 
each point that is derived using a dense image matching method 
such as XPro SGM are underway. Additional work still needs to 
be done to integrate more with Business Intelligence (BI) products 
that provide a range of capabilities like reporting, data analysis, 
dashboards and data mining to improve the support for accounting 
and project management.( 
REFERENCES 
Beshah, B., Martinez M., Stojic M., 2000, ISO/OGC Standards 
Impact On Next Generation Enterprise Spatial Platform, Int. Arch. 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
Phot. & Rem. Sens., Beijing, China, Vol. XXXVII, Part Bl, pp. 
1099 -1104. 
Gehrke, S., K. Morin, M. Downey, N. Boehrer, and T. Fuchs, 
2010. Semi-Global Matching: An Alternative to LiDAR for DSM 
Generation? Int. Arch. Phot. & Rem. Sens., Calgary, AB, Vol. 38, 
Part Bl. 
Gehrke, S., R. Uebbing, M. Downey, and K. Morin, 2011. 
Creating and Using Very High Density Point Clouds Derived from 
ADS Imagery. Proc. ASPRS Annual Conference, Milwaukee, WI. 
  
    
  
  
    
      
  
  
   
   
  
   
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