| 基于小波的SAR影像纹理分析 |
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| 引用本文： | 倪玲,张剑清,姚巍.基于小波的SAR影像纹理分析[J].武汉大学学报(信息科学版),2004,29(4):367-370. |
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| 作者姓名： | 倪玲 张剑清 姚巍 |
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| 作者单位： | 武汉大学遥感信息工程学院,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家 8 63计划资助项目 (2 0 0 2AA13 3 0 10 ) |
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| 摘 要： | 在分析SAR影像特征的基础上 ,引入了基于小波的纹理提取方法 ,并采用第二代提升小波与双正交小波对SAR影像进行小波二级分解 ,提取影像各尺度上的小波特征系数。对机载的SAR影像进行了纹理分析及分类 ,得出了不同小波的分类分析结果。
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| 关 键 词： | 小波 SAR影像 纹理分析 |
| 文章编号： | 1671-8860(2004)04-0367-04 |
| 修稿时间： | 2004年2月25日 |
SAR Image's Texture Analysis Based on Wavelet |
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| NI Ling,ZHANG Jianqing YAO Wei.SAR Image''''s Texture Analysis Based on Wavelet[J].Geomatics and Information Science of Wuhan University,2004,29(4):367-370. |
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| Authors: | NI Ling ZHANG Jianqing YAO Wei |
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| Institution: | NI Ling1 ZHANG Jianqing1 YAO Wei1 |
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| Abstract: | By using wavelet theory, texture measure can be presented in different scales and details. The method gives us a new way of image recognition on texture. This paper introduces the wavelet analysis method for extracting the texture of SAR image. Four kinds of image texture samples are selected from aerocraft SAR image, three kinds of wavelet transform (3/5 waveform lifting, 7/9 waveform lifting, biorthorgonal wavelet) are used in the dyadic wavelet transform for SAR image, and minimum distance classification method based on wavelet character coefficients is used to classify image texture. The experiment shows that the target textual information can be effectively extracted by using wavelet transform. |
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| Keywords: | wavelet SAR image texture analysis |
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