节点文献
FTe~^bi随机场模型在多光谱遥感图像分类中的应用
THE APPLICATION OF MARKOV RANDON FIELDS MODEL IN THE CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE
【摘要】 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
【Abstract】 Markov random fields model is introduced into multispectral remote sensing image classification in this paper so that the classer label spece correlation can be used to improve the classified accuracy of ground objects.The principles and realization method as well as a real classification application is given in this paper.
【关键词】 Markov随机场;
遥感图像;
分类;
【Key words】 Markov randon fields; multispectral remote sensing image; classification;
【Key words】 Markov randon fields; multispectral remote sensing image; classification;
【基金】 国防基金
- 【文献出处】 中国农业资源与区划 ,CHINESE AGRICULTRURAL RESOURES AND REGIONAL PLANNING , 编辑部邮箱 ,1999年05期
- 【分类号】S127
- 【被引频次】17
- 【下载频次】54