雷达干涉测量图像的梯度自适应光滑子函数滤波法
提出基于梯度的自适应光滑子函数滤波的新方法。通过相位梯度判断出干涉图中的噪声点。在噪声点处,将包含噪声点的InSAR图像窗口拟合为二次曲面,然后用光滑子函数对拟合曲面进行平滑去噪处理。利用北京地区的真实ALOS数据进行滤波试验,并与几种常用的滤波方法进行比较和分析。通过均方根误差、峰值信噪比、边缘保持指数和标准相位偏差等量化指标,验证了基于梯度的自适应光滑子函数滤波方法的可行性与有效性。此方法可有效抑制斑点噪声,较好地保留边缘信息并且干涉图相位偏差较少。...
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| Published in | Ce hui xue bao Vol. 43; no. 3; pp. 263 - 267 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Beijing
Surveying and Mapping Press
01.03.2014
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 提出基于梯度的自适应光滑子函数滤波的新方法。通过相位梯度判断出干涉图中的噪声点。在噪声点处,将包含噪声点的InSAR图像窗口拟合为二次曲面,然后用光滑子函数对拟合曲面进行平滑去噪处理。利用北京地区的真实ALOS数据进行滤波试验,并与几种常用的滤波方法进行比较和分析。通过均方根误差、峰值信噪比、边缘保持指数和标准相位偏差等量化指标,验证了基于梯度的自适应光滑子函数滤波方法的可行性与有效性。此方法可有效抑制斑点噪声,较好地保留边缘信息并且干涉图相位偏差较少。 |
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| AbstractList | 提出基于梯度的自适应光滑子函数滤波的新方法。通过相位梯度判断出干涉图中的噪声点。在噪声点处,将包含噪声点的InSAR图像窗口拟合为二次曲面,然后用光滑子函数对拟合曲面进行平滑去噪处理。利用北京地区的真实ALOS数据进行滤波试验,并与几种常用的滤波方法进行比较和分析。通过均方根误差、峰值信噪比、边缘保持指数和标准相位偏差等量化指标,验证了基于梯度的自适应光滑子函数滤波方法的可行性与有效性。此方法可有效抑制斑点噪声,较好地保留边缘信息并且干涉图相位偏差较少。 |
| Author | 付政庆 刘国林 陶秋香 刘伟科 |
| AuthorAffiliation | 山东科技大学理学院 山东科技大学测绘学院 |
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| Copyright | Mar 2014. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Algorithms Curve fitting Filtration Noise Noise reduction Signal to noise ratio Smoothing 光滑子函数 斑点噪声 滤波 自适应 雷达干涉测量 |
| Title | 雷达干涉测量图像的梯度自适应光滑子函数滤波法 |
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