Multisensor image registration using modified Hausdorff distance matrix metrics

Qing Li; Guang-zhou Qu; Xin Zhao; Qiu-ze Yu

doi:10.1117/12.902791

8 December 2011 Multisensor image registration using modified Hausdorff distance matrix metrics

Qing Li, Guang-zhou Qu, Xin Zhao, Qiu-ze Yu

Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 800215 (2011) https://doi.org/10.1117/12.902791
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

As to multi-sensor image registration, a novel algorithm for registration synthetic aperture radar (SAR) image to Optical image based on Weight Hausdorff Distance Matrix (WHDM) Metric is proposed in the paper. In the proposed method, edge feature is used for common feature, which can solve the key problem brought by different senor. WHDM is designed as a similarity measure. Experimental results using synthetic and real images demonstrate that the proposed WHDM metric outperforms most existed Hausdorff Distance based (HD-based) methods, especially in higher level noise and that the proposed algorithm is robust, and can achieve high registration accuracy.

Citation Download Citation

Qing Li, Guang-zhou Qu, Xin Zhao, and Qiu-ze Yu "Multisensor image registration using modified Hausdorff distance matrix metrics", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800215 (8 December 2011); https://doi.org/10.1117/12.902791

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