| 一种新型的空域极化SAR数据相干斑滤波方法 |
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| 作者姓名： | 张静怡 雷斌 刘团结 |
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| 作者单位： | 1. 中国科学院空间信息处理与应用系统技术重点实验室, 北京 100190;
2. 中国科学院电子学研究所, 北京 100190;
3. 中国科学院研究生院, 北京 100049 |
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| 基金项目： | 国家重大科技基础设施建设项目(CARSS/HK-C)资助 |
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| 摘 要： | 提出一种新型的空域极化SAR数据相干斑滤波方法,改进了Sigma滤波并结合基于Freeman-Durden分解的Wishart非监督分类方法,在保留强点目标的同时,有效选择同质区域且具有相同散射类型的像素参与滤波.实验结果表明,在相干斑噪声抑制和边缘纹理细节信息保持方面,该方法均具有优越性,且能保持极化SAR数据的地物散射特性.
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| 关 键 词： | 极化SAR 相干斑抑制 Sigma滤波 散射特性 无监督分类 |
| 收稿时间： | 2011-12-29 |
| 修稿时间： | 2012-03-13 |
A new spatial speckle reduction method for polarimetric SAR data |
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| Authors: | ZHANG Jing-Yi LEI Bin LIU Tuan-Jie |
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| Institution: | 1. Key Laboratory of Technology in Geo-spatial Information Procession and Application System, Chinese Academy of Sciences, Beijing 100190, China;
2. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
3. Graduate University, Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | In order to effectively reduce the speckle of PolSAR data,a new algorithm is proposed combing the improved sigma filter with unsupervised Wishart classification based on Freeman-Durden decomposition. Pixels within the sigma range and also in the same scattering category are selected and used to estimate the central pixel. The experiment results show that the proposed algorithm excels in both the suppression of the speckle and the preservation of the edges and texture details and that it can protect the scattering characteristics of targets. |
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| Keywords: | polarimetric synthetic aperture radar(PolSAR) speckle reduction sigma filter scattering characteristics unsupervised classification |
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