In this research remote sensing image categories classification using machine learning methods and image processing is used. Satellite images are one of the important sources of data collecting all regions and areas around the world. Which is more useful then camera-based images for analysis of difficult regions. In this research work, an advanced study on remote sensing image categories is classified and examined using two classes’ ocean ship and ocean oil spill satellite images. This research help in characterizing the type of satellite image classification for the particular two classes. The following stages have been considered are preprocessing, segmentation, and classification methods using a support vector machine classifier. The present investigation results that coiflet5 analysis works well in remote sensing image categories classification with an accuracy of 97% using an SVM classifier.