Comparaison between the method which is used the spatial contextual information and some methods of image classification

Houda Hassouna
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Abstract

In this paper, we present the results obtained for the remote sensing image classification by using three methods of classification namely, Gaussian process classification method (GPC), morphological profile for classification method (MPC) and spatial contextual Gaussian process classification method (SGPC). Several classification approaches have shown that the exploitation of spatial contextual information can be attractive to increase the classification accuracy by introducing a new automated learning approach based on Gaussian process theory.
基于空间上下文信息的图像分类方法与现有图像分类方法的比较
本文介绍了高斯过程分类法(GPC)、形态轮廓分类法(MPC)和空间背景高斯过程分类法(SGPC)三种分类方法对遥感图像进行分类的结果。几种分类方法表明,利用空间上下文信息可以通过引入一种新的基于高斯过程理论的自动学习方法来提高分类精度。
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