Applying the good nonlinear classification ability of the least squares support vector machine( SVM) algorithm,this paper conduced the classification of land use in agricultural district from the highspatial resolution ZY1-02 C remote sensing images,which was based on the SVM method integrating information of shape and texture. It shows that the high-spatial resolution ZY1-02 C data can realize land classification quickly and effectively,and the classification accuracy is increased by adding the feature inf...