International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 
the establishment of prior probabilities of object 
characteristics etc. 
7. CONCLUSIONS 
During the past, photogrammetry and remote sensing have 
become acknowledged disciplines for GIS data collection. More 
recently, this became true in the opposite direction as well, i.e. 
GIS data gain increasing importance for image analysis in 
photogrammetry and remote sensing. First and foremost, this 
has led to a certain exchange and employment of rather 
discipline-specific algorithms in all three fields. The algorithms 
are used in a competitive, as well as in a complementary 
manner, but fusion of algorithms and furthermore general 
information fusion is still at the beginning. 
Theoretically, all information sources, like various models, 
multisensor image data, maps and other knowledge databases, 
can be integrated and used within a GIS. Such a GIS would play 
the role of a general modelling and analysis tool. Whether this 
is the way to go or not, will be decided by the future 
developments and the experiences gained. Based on current 
practice, it seems that data integration systems should be 
developed and tailored for specific applications, if they are to be 
successful and manageable. In any case, the fact that the 
available data, information and sensors are increasing 
dramatically, underlines the importance of developing 
appropriate theories, tools and practical systems for their 
integration and fusion. 
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