| 遥感图象的马尔柯夫随机场模型的纹理识别方法 |
| |
| 引用本文： | 吴士达,游思琼,杨立新,关忠仁.遥感图象的马尔柯夫随机场模型的纹理识别方法[J].成都信息工程学院学报,1992(3). |
| |
| 作者姓名： | 吴士达 游思琼 杨立新 关忠仁 |
| |
| 作者单位： | 成都气象学院科研所
(吴士达，游思琼，杨立新)，成都气象学院科研所(关忠仁) |
| |
| 摘 要： | 本文讨论了马尔柯夫随机场图象模型及邻域选择方法,提出了8邻域5特征参数的马尔柯夫随机场图象模型以及一套完整而有效的特征参数的估计算法,将这些特征参数变成可视图象从而实现了视算。对8类不同纹理的标准图象进行分类试验,其识别(分类)的平均正确率达97.57％。
|
| 关 键 词： | 纹理 模式识别 图象处理 马尔柯夫随机场 |
TEXTURE RECOGNITION FOR REMOTE SENSING IMAGES. USING MARKOV RANDOM-FIELD MODEL |
| |
| Wu Shida You Siqing,Yuang Lining Guan Zhongren.TEXTURE RECOGNITION FOR REMOTE SENSING IMAGES. USING MARKOV RANDOM-FIELD MODEL[J].Journal of Chengdu University of Information Technology,1992(3). |
| |
| Authors: | Wu Shida You Siqing Yuang Lining Guan Zhongren |
| |
| Abstract: | In this paper,the MARKOV random-field of image and the method for selecting neighbor set are discussed. A MARKOV random-field model for remote sensing image with eight-neighbor set, five-significant parameters and a set of effective algorithm for estimating these parameters are also presented. Changing these parameters into images which can be displayed, and the vision computing is realized. After the classification test to nine images which belong to eight cateogory textures,the result shows an average classification accuracy of 97.57%. |
| |
| Keywords: | Texture Pattern recognition Image processing MARKOV radom field |
| 本文献已被 CNKI 等数据库收录！ |
