Abstract: In order to improve the classification results and solve the universality in color sensing image classification using unique feature, a new support vector machine (SVM) color remote sensing image classification algorithm based on color feature and texture feature combination was proposed. The method used the combination of the color information and the texture information of color remote sensing image as the eigenvectors of SVM algorithm. The results show that the method can achieve higher precision compared with the traditional method using unique feature or texture feature. The method is effective to classify the remote sensing image.