| 利用基于小波的尺度共生矩阵进行纹理分析 |
| |
| 引用本文： | 吴均,赵忠明.利用基于小波的尺度共生矩阵进行纹理分析[J].遥感学报,2001,5(2):100-103. |
| |
| 作者姓名： | 吴均 赵忠明 |
| |
| 作者单位： | 中国科学院遥感应用研究所,国家遥感工程技术研究中心, |
| |
| 摘 要： | 提出了一个在尺度空间提取特征的新方法，它的特点是提取尺度之间的依存关系，而非尺度间的独立特征，和传统方法相比，它更全面、更准确地刻画了纹理的尺度特性。具体做法是，首先构造一个反映尺度依存关系的矩阵（本文称之为尺度共生矩阵），然后在此基础上进行特征提取分类。实验结果表明：用基于尺度共生矩阵的分类方法可以得到较好的分类结果。
|
| 关 键 词： | 尺度共生矩阵 框架小波变换 纹理分类 遥感图像处理 |
| 文章编号： | 1007-4619(2001)02-0100-04 |
| 收稿时间： | 2000/9/17 0:00:00 |
| 修稿时间： | 2000年9月17日 |
Scale Co-occurrence Matrix for Texture Analysis Using Wavelet Transform |
| |
| WU Jun and ZHAO Zhong-ming.Scale Co-occurrence Matrix for Texture Analysis Using Wavelet Transform[J].Journal of Remote Sensing,2001,5(2):100-103. |
| |
| Authors: | WU Jun and ZHAO Zhong-ming |
| |
| Institution: | Institute of Remote Sensing Applications,CAS,National Engineering Research Center for Geoinformatics,Beijing 100101,China;Institute of Remote Sensing Applications,CAS,National Engineering Research Center for Geoinformatics,Beijing 100101,China |
| |
| Abstract: | In this paper, we proposed a new method for image feature extraction within scale space. The new method captures the relation of features between different scales, but not the features within a single scale space. Compared with the traditional methods, the proposed method can represent the scale property of texture better. In practice, we first construct a scale_based concurrent matrix (SCM) which reflects the relation between different scales; and then using the matrix calculate some useful measurements as the features for texture classification. Experiments also show that the proposed method can get more accurate results for texture classification than the traditional texture classification methods. |
| |
| Keywords: | concurrent matrix scale_based concurrent matrix frame wavelet texture classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《遥感学报》浏览原始摘要信息 |
| 点击此处可从《遥感学报》下载免费的PDF全文 |
