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Proceedings Paper

SAR image registration combining watershed segmentation and mutual information
Author(s): Xiangyu Yu; Hong Sun; Yongfeng Cao
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Paper Abstract

A registration method combining watershed segmentation and mutual information for Synthetic Aperture Radar(SAR) images is introduced in this paper. In this approach, the gradient images of SAR are first segmented by morphological watershed algorithm. Oversegmentation is diminished by basin dynamics. Mutual information is calculated on a pair of segmentation results. The maximum of the mutual information indicates the optimal matching parameters. In order to avoid falling into local optimal, a two-step modification is also proposed. Coarse parameters are obtained on the segmentation result containing a small number of regions, and refinement is done at the neighbour of the coarse matching with more regions in segmentation. The optimal matching at the second step indicates the final registration parameters. Experiments on multi-polarization SAR images show that this approach has evident effect for registration of SAR images with rigid or small geometrical difference.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60432U (3 November 2005); doi: 10.1117/12.655021
Show Author Affiliations
Xiangyu Yu, Wuhan Univ. (China)
Hong Sun, Wuhan Univ. (China)
Yongfeng Cao, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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