Maximum likelihood estimation for InSAR image co-registration

This paper presents a closed-form robust phase correlation based algorithm for performing image registration to subpixel accuracy. The subpixel translational shift information is directly obtained from the phase of the normalized cross power spectrum by using Maximum Likelihood Estimation (MLE). The proposed algorithm also has slighter time complexity. Experimental results show that the proposed algorithm yields superior registration precision on the Cramér-Rao Bound (CRB) in the presence of aliasing and noise.

[1]  Abdelfattah Riadh,et al.  Topography optimization for accurate interferometric phase generation , 1998, Remote Sensing.

[2]  Jean-Marie Nicolas,et al.  Interferometric SAR image coregistration based on the Fourier-Mellin invariant descriptor , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[3]  Hassan Foroosh,et al.  Extension of phase correlation to subpixel registration , 2002, IEEE Trans. Image Process..

[4]  Alberto Moreira,et al.  Coregistration of interferometric SAR images using spectral diversity , 2000, IEEE Trans. Geosci. Remote. Sens..

[5]  Richard M. Goldstein,et al.  Studies of multibaseline spaceborne interferometric synthetic aperture radars , 1990 .

[6]  Maurizio Migliaccio,et al.  A new interpolation kernel for SAR interferometric registration , 2003, IEEE Trans. Geosci. Remote. Sens..

[7]  B. N. Chatterji,et al.  An FFT-based technique for translation, rotation, and scale-invariant image registration , 1996, IEEE Trans. Image Process..

[8]  J. Horner,et al.  Phase-only matched filtering. , 1984, Applied optics.

[9]  R. Goldstein,et al.  Mapping small elevation changes over large areas: Differential radar interferometry , 1989 .

[10]  Hassan Foroosh,et al.  Inferring motion from the rank constraint of the phase matrix , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[11]  Michel Defrise,et al.  Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Arnon Karnieli,et al.  Exploring the utility potential of SAR interferometric coherence images , 1998 .

[13]  William Scott Hoge,et al.  A subspace identification extension to the phase correlation method [MRI application] , 2003, IEEE Transactions on Medical Imaging.

[14]  D. J. Weydahl,et al.  Analysis of ERS SAR coherence images acquired over vegetated areas and urban features , 2001 .

[15]  Michael T. Orchard,et al.  A fast direct Fourier-based algorithm for subpixel registration of images , 2001, IEEE Trans. Geosci. Remote. Sens..