| 基于Beta-Prime统计模型和QGD分类器的SAR图像地物分类方法 |
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| 引用本文： | 付琨,孙真真,吴一戎. 基于Beta-Prime统计模型和QGD分类器的SAR图像地物分类方法[J]. 电子学报, 2003, 31(Z1): 2163-2166 |
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| 作者姓名： | 付琨 孙真真 吴一戎 |
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| 作者单位： | 1. 中国科学院电子学研究所, 北京, 100080;2. 北京系统工程研究所, 北京, 100101 |
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| 摘 要： | 本文融合了Beta-prime(BP)统计模型和Quadratic Gamma discrimination(QGD)分类器各自的优点,给出了一个完整的合成孔径雷达(SAR)图像地物分类算法.通过利用BP模型区分背景杂波和目标,利用QGD分类器区分自然目标和人造目标,可以精确地把SAR图像分成阴影、背景杂波、自然目标和人造目标,在为目标识别过程提供潜在目标切片的同时,也能够提供背景杂波和自然目标的信息.
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| 关 键 词： | 合成孔径雷达图像 QGD分类器 BP统计模型 地物分类 |
| 文章编号： | 0372-2112(2003)12A-2163-04 |
| 收稿时间： | 2003-09-18 |
| 修稿时间： | 2003-09-18 |
The SAR Image Terrain Classification Algorithm Combining Quadratic Gamma Discrimination Classifier and Beta-Prime Statistic Model |
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| FU Kun,SUN Zhen-zhen,Wu Yi-rong. The SAR Image Terrain Classification Algorithm Combining Quadratic Gamma Discrimination Classifier and Beta-Prime Statistic Model[J]. Acta Electronica Sinica, 2003, 31(Z1): 2163-2166 |
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| Authors: | FU Kun SUN Zhen-zhen Wu Yi-rong |
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| Affiliation: | 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China;2. Beijing Institute of System Engineering, Beijing 100101, China |
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| Abstract: | The synthetic aperture radar (SAR) image terrain classification algorithm combining the respective characteristics of Beta-prime (BP) statistic model and quadratic Gamma discrimination (QGD) classifier is presented.Through classifying background clutter and target by BP model,and classifying natural target and man-made target by QGD classifier,this algorithm can cluster the SAR image into shadow,background clutter,natural target and man-made target.It can offer not only the information of background clutter and natural target,but also the potential target chips for target recognition process. |
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| Keywords: | SAR image QGD classifier BP statistic model terrain classification |
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