In early days satellite pictures were to a great degree exorbitant and they were constrained for open source applications exactly in the meantime, as a couple of business satellites have been moved they give around the world, correct, high-assurance images to individuals, affiliations, and governments. Thusly, satellite pictures have ended up being more reasonable and the regions of use have extended greatly. In order to make use of satellite images in various applications, we need an efficient

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... approach. In this paper, we introduce a preliminary review of researches currently performed in satellite images classification using Image Segmentation, feature extraction, and classification techniques. Based on that we proposed a novel approach for Classification of Desert, mountain, residential area, river and forest Images with the help of satellite images. The proposed structure uses Fuzzy C Means for Image segmentation & Clustering, Gabor Filter, GLCM and color histogram for Feature extraction and SVM for training and Image Classification. In feature extraction, the features are separated in view of color, shape, and texture.