| 基于树型小波和灰度共生矩阵的SAR图像分类 |
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| 引用本文： | 胡伏原,张艳宁,薛笑荣,苏爱民. 基于树型小波和灰度共生矩阵的SAR图像分类[J]. 系统工程与电子技术, 2003, 25(10): 1286-1288 |
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| 作者姓名： | 胡伏原 张艳宁 薛笑荣 苏爱民 |
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| 作者单位： | 西北工业大学计算机科学与工程系,陕西,西安,710072 |
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| 基金项目： | 国防科技重点实验室基金 (2 0 0 0JS0 1.4.1.HK0 3 11)，航空基金 (0 0F5 3 0 5 0 )资助课题 |
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| 摘 要： | SAR图像包含有相干斑噪声 ,传统的方法不能很好地对SAR图像进行分类。为了能对SAR进行精确分类 ,将图像的灰度和纹理特征 ,空域和频域特征相结合 ,提出了一种新的SAR图像分类方法。该方法采用由树型小波中频纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。实验结果分析表明 ,该方法是一种有效的SAR图像分类方法。
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| 关 键 词： | 合成孔径雷达 树型小波 小波滤波 图像分类 |
| 文章编号： | 1001-506X(2003)10-1286-03 |
| 修稿时间： | 2002-10-11 |
A Classification Method for SAR Image Based on Tree Wavelet and Gray-Level Co-Occurrence Matrix |
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| HU Fu-yuan,ZHANG Yan-ning,XUE Xiao-rong,SU Ai-min. A Classification Method for SAR Image Based on Tree Wavelet and Gray-Level Co-Occurrence Matrix[J]. System Engineering and Electronics, 2003, 25(10): 1286-1288 |
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| Authors: | HU Fu-yuan ZHANG Yan-ning XUE Xiao-rong SU Ai-min |
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| Abstract: | Containing speckles, an SAR image, can not be classified well by using the traditional methods. A new method of SAR image classification is proposed with the features in the space domain and frequency domain to get the accurate result of classification. The SAR image is classified by using the feature vector which is composed of wavelet texture energy features, the gray-level co-occurrence matrix features and the tone of filtered SAR image with tree wavelet. The results of experiment prove that the method is efficient for SAR image classification. |
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| Keywords: | SAR Tree wavelet Wavelet filter Image classification |
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