The Study of Land Use Classification Based on SPOT6 High Resolution Data

Abstract

A method is carried out to quick classification extract of the type of land use in agricultural areas, which is based on the spot6 high resolution remote sensing classification data and used of the good nonlinear classification ability of support vector machine. The results show that the spot6 high resolution remote sensing classification data can realize land classification efficiently, the overall classification accuracy reached 88.79% and Kappa factor is 0.8632 which means that the classification result of support vector machine is ideal and better than other traditional image classification method. So, the method which is used high-resolution satellite provide a rapid and feasible way for classification of land use types.