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

fYear

2010

fDate

24-28 Oct. 2010

Firstpage

2188

Lastpage

2191

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2010 IEEE 10th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5897-4

Type

conf

DOI

10.1109/ICOSP.2010.5655731

Filename

5655731