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。
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.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2008年第1期6-9,共4页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(60502045)
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
estimate of noise subspace
interferometric phase
joint pixel pait
image coregistration
eigendecomposition
