An Improved Joint Subspace Projection Method for InSAR Interferogram Filtering

摘要：

In this paper, an improved joint subspace projection method for synthetic aperture radar interferometry (InSAR) interferogram filtering is proposed. Benefiting from the new formulation of joint data vector, the method does not need to calculate the noise subspace dimension before estimating the InSAR interferometric phase, thus avoiding the effect on the estimation of the InSAR interferometric phase due to the inaccuracy of the noise subspace dimension. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously.

关键词： synthetic aperture radar interferometry (InSAR) interferometric phase noise subspace dimension autocoregister joint data vector

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: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2188-2191

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）