| 基于Freeman散射熵和各向异性度的极化SAR影像分类算法研究 |
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| 引用本文： | 郎丰铠,杨杰,赵伶俐,张兢,李德仁.基于Freeman散射熵和各向异性度的极化SAR影像分类算法研究[J].测绘学报,2012,41(4):0-590. |
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| 作者姓名： | 郎丰铠 杨杰 赵伶俐 张兢 李德仁 |
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| 作者单位： | 1. 武汉大学测绘遥感信息工程国家重点实验室,湖北武汉,430079
2. 91635部队,北京,102249 |
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| 基金项目： | 国家自然科学基金，国家863计划，中央高校基本科研业务费专项资金 |
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| 摘 要： | 极化SAR影像中阴影、水体和裸露的耕地3种地物类型有非常相似的极化散射特性,常规基于非相干分解的分类方法难以将其有效地区分。对此,本文引入基于Freeman分解的散射熵Hf和各向异性度Af两个特征参数,并将其用于极化SAR影像分类。首先利用Hf和Af参数将阴影和水体提取出来,然后将其他地物按散射机制分为3大类,并对每一类再次利用Hf和Af参数进行细分,最后通过基于Wishart分布的聚类和迭代分类,得到最终的分类结果。通过利用Radarsat-2在河南登封获取的全极化SAR数据进行试验,表明该算法执行效率高,能够有效地区分阴影、水体和裸露的耕地,并且对其他地物类型也有很好的分类效果。
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| 关 键 词： | 极化SAR 分类 Freeman分解 散射熵 各向异性度 |
| 收稿时间： | 2011-09-26 |
Polarimetric SAR Data Classification with Freeman Entropy and Anisotropy Analysis |
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| LANG Fengkai,YANG Jie,ZHAO Lingli,ZHANG Jing,LI Deren.Polarimetric SAR Data Classification with Freeman Entropy and Anisotropy Analysis[J].Acta Geodaetica et Cartographica Sinica,2012,41(4):0-590. |
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| Authors: | LANG Fengkai YANG Jie ZHAO Lingli ZHANG Jing LI Deren |
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| Institution: | 1.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;2.91635 Troop,Beijing 102249,China |
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| Abstract: | The unsupervised classification of preserving polarimetric scattering characteristics is a classic classification method.But this method cannot classify the different objects with similar main scattering mechanism powers,especially for shadow,water and bare soil,which have very low backscattering powers.So the entropy and anisotropy parameters based on Freeman three-component decomposition is introduced,and applied into polarimetric SAR classification.Before applying the decomposition,a polarimetric orientation compensation(POC) procedure is performed for a better result.And then,the entropy Hf and anisotropy Af are calculated after Freeman decomposition.Through choosing appropriate values of Hf and Af,the shadow and water can be extracted out.The other pixels are then divided into three categories by their dominant scattering mechanisms.Each category is divided into 25～100 classes by the Hf～Af plane to preserve the purity of scattering characteristics,and merged into specified number of classes by Wishart distance measure.At last pixels in each category are iteratively classified by the Wishart classifier independently.A Radarsat-2 C band polarimetric SAR image was used to illustrate the effectiveness of the proposed method. |
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| Keywords: | polarimetric SAR classification Freeman decomposition entropy anisotropy |
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