Title :
An improved joint subspace projection method for InSAR interferogram filtering
Author :
Li, Hai ; Wu, Renbiao
Author_Institution :
Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China
Abstract :
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.
Keywords :
filtering theory; noise (working environment); radar imaging; radar interferometry; synthetic aperture radar; InSAR; SAR images; interferogram filtering; joint subspace projection method; noise subspace dimension; synthetic aperture radar interferometry; Correlation; Covariance matrix; Estimation; Filtering; Joints; Noise; Pixel; auto-coregister; interferometric phase; joint data vector; noise subspace dimension; synthetic aperture radar interferometry (InSAR);
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655731
