Increasing the resolution of recent satellite images has become one of the problems for image classification in scientific studies. One way to overcome this problem is to characterize the pixel being classified by parameters measuring the spatial organization of the pixels in its neighborhood. In this study, textural parameters of one-step and two-step encoded images were calculated in the formof a vector.These parameterswere subject to thesupport vector machine classifiertodecidewhich classimage is belonging to. Results showed that the encoding method is a proper way to compress an image without losing textural information. It reduces the size of data and thereby reducing the computation time characteristics.