Application of generalized partial volume estimation for mutual information based registration of high resolution SAR and optical imagery

Mutual information (MI) has proven its effectiveness for automated multimodal image registration for numerous remote sensing applications like image fusion. We analyze MI performance with respect to joint histogram bin size and the employed joint histogramming technique. The affect of generalized partial volume estimation (GPVE) utilizing B-spline kernels with different histogram bin sizes on MI performance has been thoroughly explored for registration of high resolution SAR (TerraSAR-X) and optical (IKONOS-2) satellite images. Our experiments highlight possibility of an inconsistent MI behavior with different joint histogram bin size which gets reduced with an increase in order of B-spline kernel employed in GPVE. In general, bin size reduction and/or increasing B-spline order have a smoothing affect on MI surfaces and even the lowest order B-spline with a suitable histogram bin size can achieve same pixel level accuracy as achieved by the higher order kernels more consistently.

[1]  Pramod K. Varshney,et al.  Size-dependent image resampling for mutual information based remote sensing image registration , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[2]  Colin Studholme,et al.  An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..

[3]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[4]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[5]  Pramod K. Varshney,et al.  Mutual information-based image registration for remote sensing data , 2003 .

[6]  Jordi Inglada,et al.  On the possibility of automatic multisensor image registration , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Hua-mei Chen,et al.  Mutual Information: A Similarity Measure for Intensity Based Image Registration , 2004 .

[8]  Hui.  A Contour-Based Approach to Multisensor Image Registration , 2009 .

[9]  Max A. Viergever,et al.  Mutual-information-based registration of medical images: a survey , 2003, IEEE Transactions on Medical Imaging.

[10]  Jacqueline Le Moigne,et al.  Multiresolution registration of remote sensing imagery by optimization of mutual information using a stochastic gradient , 2003, IEEE Trans. Image Process..

[11]  Pramod K. Varshney,et al.  Mutual information-based CT-MR brain image registration using generalized partial volume joint histogram estimation , 2003, IEEE Transactions on Medical Imaging.

[12]  Fawwaz T. Ulaby,et al.  Mutual information based registration of SAR images , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[13]  Max A. Viergever,et al.  Interpolation Artefacts in Mutual Information-Based Image Registration , 2000, Comput. Vis. Image Underst..