| 基于MARMA模型的SAR图像SVM分割 |
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| 引用本文： | 王鹏伟,吴秀清,刘博. 基于MARMA模型的SAR图像SVM分割[J]. 中国科学技术大学学报, 2008, 38(12) |
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| 作者姓名： | 王鹏伟 吴秀清 刘博 |
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| 作者单位： | 中国科学技术大学电子工程与信息科学系,安徽合肥,230027 |
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| 基金项目： | 国家高技术研究发展(863)计划资助 |
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| 摘 要： | 在分析SAR图像特征的基础上,提出一种新的基于多尺度自回归滑动平均(multiscale autoregressive moving average,MARMA)模型的SAR图像分割方法.首先建立多尺度序列,然后通过研究SAR纹理图像的MARMA模型,建立适合SAR图像的多尺度特征矢量,最后采用提出的广义加权支持向量机进行特征分类.实验结果表明,采用此分割方法可以获得很好的分割结果.
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| 关 键 词： | SAR图像 多尺度自回归滑动平均模型 加权支持向量机 图像分割 |
Support vector machine segmentation of SAR images based on MARMA model |
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| WANG Peng-wei,WU Xiu-qing,LIU Bo. Support vector machine segmentation of SAR images based on MARMA model[J]. Journal of University of Science and Technology of China, 2008, 38(12) |
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| Authors: | WANG Peng-wei WU Xiu-qing LIU Bo |
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| Abstract: | According to the characteristics of SAR imagery,the support vector machine segmentation of SAR images was proposed based on multiscale autoregressive moving average(MARMA) model,which can capture the statistical scale-dependency of SAR images.Firstly,the multiscale sequences of SAR image were constructed.Secondly,methods for establishing MARMA model and extracting the multiscale stochastic characteristics of different SAR texture images were investigated.Finally,the characteristic vectors were classified using generalized weighted SVM.Experiments show the efficiency of the proposed algorithm. |
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| Keywords: | SAR images multiscale autoregressive moving average(MARMA) model weighted support vector machine image segmentation |
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