| 基于舰船目标的极化SAR改进滤波算法研究 |
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| 作者姓名： | 山鹏 张振华 王晓红 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院;北京遥测技术研究所;海军装备研究院; |
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| 摘 要： | 针对传统极化白化滤波(PWF)算法在处理极化SAR数据时的缺陷,提出一种改进的方法,该方法利用边缘模板检测和Freem an散射特性分解等技术对存在结构特征区域的图像采取特殊处理,提高了存在结构特征区域图像的滤波性能。实验证明,改进方法具有更强的自适应性,可有效降低相干斑噪声,特别是在边缘区域,能更好地保持舰船目标的结构信息。
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| 关 键 词： | 极化合成孔径雷达 极化白化滤波 Freeman分解 |
Improved Method of Polarized Filter for Ship Target in Polarimetric SAR Images |
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| Authors: | Shan Peng Zhang Zhenhua Wang Xiaohong |
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| Institution: | Shan Peng,Zhang Zhenhua,Wang Xiaohong |
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| Abstract: | An improved method to overcome the deficiency of traditional PWF(Polarimetric Whitening Filter) is proposed in this paper.The structure detection model and Freeman decomposition are used to select the homogeneous area,and the parameter estimation is advanced.Experimental results show that the improved method has enhanced auto-adaptability and it can reduce the speckle.Especially in the edge area,the structure information of ship targets can be preserved well. |
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| Keywords: | Polarimetric synthetic aperture radar Polarimetric whitening filter Freeman decomposition |
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