InSAR Interferometric Phase Estimation Based on Correlation Weight Subspace Projection

摘要：

In this paper we propose a method to estimate the InSAR interferometric phase using the correlation weight subspace projection technique. In the method the correlation weight data vector is constructed, thus the noise subspace dimension of the corresponding covariance matrix will not be affected by the coregistration error, then avoiding the trouble of calculating the noise subspace dimension before estimating the InSAR interferometric phase. The method can autocoregister the SAR images and reduce the interferometric phase noise simultaneously. The effectiveness of the method is verified via simulated data.

关键词： SAR interferometry (InSAR) subspace projection interferometric phase eigen-decomposition correlation coefficient weight

作者: Hai Li Renbiao Wu

作者单位: Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China Tianjin 30 Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China Tianjin 30

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 398-401

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）