Automatic image-matching algorithm based on wavelet decomposition

Details Automatic image-matching algorithm based on wavelet decomposition Automatic image-matching algorithm based on wavelet decomposition

Aug 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994spie.2357..951z&link_type=abstract

Proc. SPIE Vol. 2357, p. 951-960, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer V

Computer Science

Scientific paper

The matching of stereo images is a key problem for digital photogrammetry. This paper presents an automatic image matching algorithm based on the wavelet decomposition. The matching strategy consists of two parts. First a rotating and wavelets weighted Laplacian variance coarse matching algorithm is operated on each level of image pyramids, which are generated by the orthogonal wavelet decomposition, to obtain a matching precision within 2 pixels. The wavelets' coefficients are used as the weight function in similarity measure. Second the well known least squares matching is performed to obtain the higher matching precision based on the results of the coarse matching. The potential of this matching method is shown in the experimental results of Mars remote sensing imagery.

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