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Proceedings Paper

Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance
Author(s): Xia Mao; Kang Huang; Yaoming Liang
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862X (15 November 2007); doi: 10.1117/12.749934
Show Author Affiliations
Xia Mao, Beihang Univ. (China)
Kang Huang, Beihang Univ. (China)
Yaoming Liang, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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