| 基于灰度共生矩的SAR图像纹理特征提取方法 |
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| 引用本文： | 杨凯陟,程英蕾.基于灰度共生矩的SAR图像纹理特征提取方法[J].电子科技,2011,24(11):66-69. |
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| 作者姓名： | 杨凯陟 程英蕾 |
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| 作者单位： | (空军工程大学 电讯工程学院,陕西 西安 710077) |
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| 基金项目： | 陕西自然科学基金资助项目(2010JM8038) |
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| 摘 要： | 为更有效地提取合成孔径雷达（SAR）图像中的有效信息,提出了一种基于灰度共生矩阵的纹理特征提取方法。该方法在分析图像灰度共生矩常用特征描述量基础上,研究了窗口尺寸和位移向量对纹理特征的影响,通过比较不同目标各种纹理特征的分布及平均值的相差程度,计算了灰度共生矩阵的最佳窗口尺寸和位移向量,确定参与分类的可用纹理特征组合,...
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| 关 键 词： | SAR图像 纹理特征 灰度共生矩阵 特征提取 |
A Method of SAR Image Texture Feature Extraction Based on Co-occurrence Matrix |
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| YANG Kaizhi,CHENG Yinglei.A Method of SAR Image Texture Feature Extraction Based on Co-occurrence Matrix[J].Electronic Science and Technology,2011,24(11):66-69. |
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| Authors: | YANG Kaizhi CHENG Yinglei |
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| Affiliation: | (School of Telecommunications Engineering,Air Force Engineering University,Xi'an 710077,China) |
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| Abstract: | To extract available information from SAR images effectively,this paper proposes a method of texture feature extraction based on co-occurrence matrix.This paper first analyzes the common attribute values of co-occurrence matrix and the influence of window size and displacement vector on texture feature.By comparing the distribution and mean value of different objects' texture,it obtains the best window size and displace vector used to calculate co-occurrence matrix,and determines practicable texture feature... |
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| Keywords: | SAR image texture feature co-occurrence matrix feature extraction |
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