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在多光谱遥感图像分类中通过引入Ｍａｒｋｏｖ 随机场模型， 从而实现利用类别的空间相关性来提高地物的分类精度。文章给出了方法的原理、实现方法及一个应用实例
By introducing Markov random field model in multi-spectral remote sensing image classification, the spatial correlation of categories is utilized to improve the classification accuracy of ground objects. The article gives the principle of the method, the realization method and an application example