| 一种改进的PolSAR 目标分解方法 |
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| 引用本文： | 牛朝阳,马德宝,邬钧霆,张向峰.一种改进的PolSAR 目标分解方法[J].信息工程大学学报,2006,7(1):45-48. |
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| 作者姓名： | 牛朝阳 马德宝 邬钧霆 张向峰 |
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| 作者单位： | 信息工程大学,信息工程学院,河南,郑州,450002 |
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| 摘 要： | 目标分解能够为解译和利用PolSAR数据提供有效的方法。Pauli分解是一种常见的目标分解方法,但是分解结果受相干斑噪声影响较大。本文基于二次分解的思想改进了Pauli分解方法,并对PolSAR数据进行了分解实验。结果证明,改进的方法能够有效降低相干斑噪声对分解结果的影响,改善了分解结果的解译质量。
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| 关 键 词： | PolSAR 目标分解 二次分解 Pauli分解 |
| 文章编号： | 1671-0673（2006）01-0045-04 |
| 收稿时间： | 2005-09-27 |
| 修稿时间： | 2005-09-27 |
Improved Approach to Target Decomposition in PolSAR |
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| NIU Chao_yang,MA De_bao,WU Jun_ting,ZHANG Xiang_feng.Improved Approach to Target Decomposition in PolSAR[J].Journal of Information Engineering University,2006,7(1):45-48. |
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| Authors: | NIU Chao_yang MA De_bao WU Jun_ting ZHANG Xiang_feng |
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| Affiliation: | Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China |
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| Abstract: | Target Decomposition offers an effective technique of comprehending and applying polarimetric SAR data.Pauli Decomposition is a usual method of Target Decomposition and has a simple algorithm which facilitates its application. But the result of Pauli Decomposition is seriously affected by the speckle noise.The paper improved Pauli Decomposition based on twice decompositions,and validated the improved approach which can effectively reduce the influence of the decomposition result by speckle noise and enhance the comprehending quality. |
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| Keywords: | PolSAR Target Decomposition twice decomposition Pauli Decomposition |
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