Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance

Xia Mao; Kang Huang; Yaoming Liang

doi:10.1117/12.749934

15 November 2007 Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance

Xia Mao, Kang Huang, Yaoming Liang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862X (2007) https://doi.org/10.1117/12.749934
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper presents a suited approach to deal with the template coarse matching of synthetic aperture radar (SAR) and optical images based on wavelet subbands and Hausdorff distance. Firstly, we analyze the discrepancy of imaging character between SAR and optical images. Secondly, we occupy the max flat wavelet decomposition to obtain the template images, which also can suppress the speckle in SAR. Thirdly, improved canny algorithm is employed to extract the edge feature of SAR and optical images after image enhancement, respectively. Finally, this paper applies the modified Hausdorff distance with the optimum coefficient to the similarity measurement for the matching. The experimental results demonstrate the validity of the proposed methodology.

Citation Download Citation

Xia Mao, Kang Huang, and Yaoming Liang "Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862X (15 November 2007); https://doi.org/10.1117/12.749934

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