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应用遥感影像纹理特征提取线性体的马尔柯夫随机场模型
引用本文:赵书河,贾红燕.应用遥感影像纹理特征提取线性体的马尔柯夫随机场模型[J].遥感技术与应用,1999,14(4):49-52.
作者姓名:赵书河  贾红燕
作者单位:石油大学(华东)建筑工程系 东营257062 胜利油田地质研究院 东营257015
摘    要:分析了遥感影像纹理的统计特征,利用马尔柯夫随机场能够合理地描述图像纹理的随机特征,建立了纹理特征马尔柯夫随机场模型,并且对该模型在提取线性体方面作了初步探讨。研究表明该方法在遥感图像线性体信息提取方面有着广阔的应用前景。

关 键 词:,纹理特征,,马尔柯夫随机场(MRF),,线性体,
文章编号:1004-0323(1999)04-0049-04
修稿时间:1999年4月1日

A Markov Random Field Model in the Extract of Linear Form Using Remote Sensing Image Textual Features
ZHAO Shu-he,JIA Hong-yan.A Markov Random Field Model in the Extract of Linear Form Using Remote Sensing Image Textual Features[J].Remote Sensing Technology and Application,1999,14(4):49-52.
Authors:ZHAO Shu-he  JIA Hong-yan
Affiliation:(Department of Architecture Engineering, University of Petroleum, Dongying 257062) ( Geology Research Institute of ShengLi Oil Field,Dongying 257015)
Abstract:With the rapid development of remote sensing technology, its applications to geoscience are gradually widespread. The research in remote sensing image linear form is an aspect of what are generally paid attention to. This paper has analyzed the statistical features of remote sensing image texture. And it has set up a Markov Random Field (MRF) Model about textual features by which is able to describe the random feature of remote sensing image texture reasonably. It makes preliminary explores
Keywords:Textual featurezz  MRFzz  Linear formzz
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