摘要
文章提出了一种基于改进马尔科夫分类模型的高光谱图像分类方法。文中具体阐述了该分类模型的具体实现流程。首先通过子空间模型将高光谱图像投影到低维的子空间中,对图像进行预分类,然后结合改进的马尔科夫分类模型对预分类结果进行细化,实现了对高光谱图像的分类。
This paper presents a hyperspectral image classification method based on improved Markov Model. The paper describes the implementation process of the classification model. First, through the subspace model let the hyperspectral image projected onto a low-dimensional subspace, and we will have an initial classification results. Then, we use the improved markov model to classify the initial classification results, and finally obtain the classification results.
出处
《信息通信》
2016年第1期16-17,共2页
Information & Communications
