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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