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The integration of differebt data sorce inGIS has received
increasing emphasis as a result of new development in computer
and GIS techgnology. Integration of various data sets to fully
utilize complementary information hsa become an important
component. In recent years, there has been a large increase in
the amount of image data that are available to users for
various purposes. The launch of the French SPOT satellite
system has given the capability to a range of land use and land
cover analyses. This thesis compares the results of diffenent
methods used to integrate the information contents of the SPOT
Panchromatic and Multispectral image data. Four integrating
methods, namely, clour space transformation, principal
component analysis, high pass filter and radiometric method are
ivvestigated. To evaluate the result of different merging
methods, six measures are used. They are visual inspection,
correlation, root mean square error, difference of two images,
entropy value and the histogram comparison.
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