Abstract
Recent years, some countries launched there own satellite successfully, and it becomes possible to
collect the earth surface information by different remote sensors. Merging the image data collected by different sensors is becoming an important subject of digital processing. In this study, two data sets with different characteristics were digitally merged, and a single data set, which contains information from both sets, was generated. Landsat TM (Thematic Mapper) data, which have seven spectral bands, was. selected for the spectral information, and Spot HRV (High Resolution Visible Infrared Radiometer) pancromatic data, which spatial resolution is 10 m, was selected for the spatial information.
The Landsat TM data were digitally enlarged by resampling method to produce the same resolution of
Spot HRV data. Registration accuracy of both data set depending on affine transformation using 24 ground control points, was approximately 6.3 meters in the column and 3.4 meters in the line. This
results are because of the selection of test site as a small and low undulation area.
A linear combination method is used for digital merging of both data, and the output image attains
to a successful level in the spatial and spectral resolution.
by S. Tanaka and T. Sugimura
