Imaging spectrometer has tens or hundreds of bands. Th us, it provides the opportunity to acquire more volume of information about the surface targets. At the same time it is difficult to process so huge volume of d ata, thus, it is important to find a solution to this problem. Principal Compone nt Analysis (PCA) is a good method to reduce the volume of data at the cost of a little loss of information. But one of disadvantages of PCA is that each PCA tr ansformed component has a blur meaning. Correspondence Analysis (CA) overcomes t his shortcoming. This paper uses CA to process the Laboratory spectra of nine ro cks, which have been resampled on the channels of MAIS, and get a good result. It is also a meaningful attempt to the processing of imaging spectrometer data.