Abstract: With the aid of electronic computers, data compression processing is an important technique used for recognizing the pattern of remote sensing images. In this paper, Karhunen-Loeve transformation and the R-Factor Analysis have been used in compression-processing the multi-spectrum data on the land satellite Computer Compatible Tape (CCT). As a result, with about 99% of the information being kept, the characteristic quantities can be compressed from four dimensions into two dimensions, so that a picture with clusters of dots can be made on a sheet of paper for recognizing and defining the objects.