This paper utilizes the maximum likelihood to estimate the parameters of the choice model. 利用最大似然法，对模型的上下选择层的参数进行估计。
According to the method classification test is done with ETM data, and the accuracy is compared with the one of maximum likelihood classifier. 结果表明，利用基于支持向量机的方法进行遥感图像分类，精度明显优于最大似然法分类的精度。
