Fast and accurate automatic SAR image registration using seven invariant moments and improved chain coding of region boundaries

Jing Xiao; Liang Zeng

doi:10.1117/12.749909

15 November 2007 Fast and accurate automatic SAR image registration using seven invariant moments and improved chain coding of region boundaries

Jing Xiao, Liang Zeng

Author Affiliations +

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871I (2007) https://doi.org/10.1117/12.749909
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper deals with subpixel accuracy Synthetic Aperture Radar (SAR) image registration which also satisfies real-time demand of SAR image processing. Because of the presence of speckle noise in SAR image, improved region detection method are carried on in reference image and sensed image respectively firstly. Then each region is represented by a set of invariant moments and chain coding of the region boundary. Correspondence between the regions in the reference image and sensed image is established by the improved regions matching criterion which proposed by us. The centers of gravity and the corners on the region boundary are the potential control points. Correspondence between the control points is established in the feature space, using the principle of minimum distance classifier. After finding enough and right matched control points, interpolation and estimation of transformation parameters using least squares method are executed finally.

Citation Download Citation

Jing Xiao and Liang Zeng "Fast and accurate automatic SAR image registration using seven invariant moments and improved chain coding of region boundaries", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871I (15 November 2007); https://doi.org/10.1117/12.749909

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