24 September 2002 Iterative Pyramid-Based Approach to Subpixel Registration of Multisensor Satellite Imagery
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Abstract
This paper compares different filters used to register images taken from different satellites to subpixel precision. The registration algorithm is one proposed by Thevenaz et al which uses a modified Levenberg-Marquardt process to find the rigid transform that best maps one image into another. Our findings are that while applied to single-sensor synthetic data, centered spline filters and the low pass band of Simoncelli steerable pyramid are equally sensitive to initial guess while the bandpass sub-band of the Simoncelli filters exhibits larger senstivity. For multisensor and noisy data, however, the bandpass filters produce the most consistent results.
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Ilya Zavorin, Harold Stone, Jacqueline Le Moigne, "Iterative Pyramid-Based Approach to Subpixel Registration of Multisensor Satellite Imagery", Proc. SPIE 4814, Earth Observing Systems VII, (24 September 2002); doi: 10.1117/12.451397; https://doi.org/10.1117/12.451397
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