This paper mainly proposed a classification method based on multi features and support vector machine. Firstly, by analyzing the features of landscape image in the visual content, the image is described by means of fusion color, texture and shape features. Secondly, a weighted principal component method is used to reduce the features of high dimensional image. Finally, the experimental results show that the method proposed in this paper has a good classification effect on landscape images.