Satellite image processing is a highly developed field that still represents a great technical challenge. Machine learning methods are used for this purpose as there has been significant amount of research in the area of image processing through these techniques, and they offer the possibility of learning from a wide amount of data without supervision. In this project, we are developing a system to identify satellite photos so that information may be extracted using image processing techniques. The classification of satellite pictures into ten different classes, was completed. Used satellite photos are divided into residential, industrial, highways, Sea/lakes, rivers, permanent crop, pasture, herbaceous vegetation, forest, and annual crop.