| 基于联合像素模型的InSAR干涉相位稳健性估计 |
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| 引用本文： | 毛志杰,廖桂生.基于联合像素模型的InSAR干涉相位稳健性估计[J].系统工程与电子技术,2008,30(1):6-9. |
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| 作者姓名： | 毛志杰 廖桂生 |
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| 作者单位： | 1. 西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071;西安通信学院,陕西,西安,710106
2. 西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071 |
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| 摘 要： | 针对InSAR处理中存在图像配准误差时,由特征值估计噪声子空间维数失效的问题,提出了一种基于干涉相位和特征向量构造的投影矢量来确定噪声子空间维数,进而估计InSAR干涉相位的方法.该方法在图像存在配准误差时,不仅能够准确地估计出噪声子空间的维数,同时增强了联合像素方法估计干涉相位的实用性和稳健性.通过仿真数据和实测数据的处理结果验证了方法的有效性.
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| 关 键 词： | 噪声子空间估计 干涉相位 联合像素 图像配准 特征分解 素模型 InSAR 干涉相位 稳健性估计 model pixel joint based estimation phase 有效性 结果验证 数据的处理 仿真数据 像素 增强 空间维数 子空间的 噪声 方法 |
| 文章编号： | 1001-506X(2008)01-0006-04 |
| 修稿时间： | 2007年1月19日 |
Robustness of InSAR interferometric phase estimation based on joint pixel parts model |
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| MAO Zhi-jie,LIAO Gui-sheng.Robustness of InSAR interferometric phase estimation based on joint pixel parts model[J].System Engineering and Electronics,2008,30(1):6-9. |
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| Authors: | MAO Zhi-jie LIAO Gui-sheng |
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| Institution: | MAO Zhi-jie1,2,LIAO Gui-sheng1 |
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| Abstract: | The issue of the noise subspace via eigenvalue estimate in the presence of the image coregistration error is studied. A method of estimate the InSAR interferometric phase based on computation the noise subspace via the projection vector composed of the InSAR interferometric phase and the joint eigenvectors is presented. Theoretical analysis and computer simulation results show that the method can provide accurate estimate of the InSAR interferometric phase even if the coregistration error be close to one pixel. The effectiveness and robustness of the method is verified by simulated data and real data. |
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| Keywords: | estimate of noise subspace interferometric phase joint pixel pait image coregistration eigen-decomposition |
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