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Proceedings Paper

Iterative pyramid-based approach to subpixel registration of multisensor satellite imagery
Author(s): Ilya Zavorin; Harold Stone; Jacqueline Le Moigne
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Paper 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.

Paper Details

Date Published: 24 September 2002
PDF: 12 pages
Proc. SPIE 4814, Earth Observing Systems VII, (24 September 2002); doi: 10.1117/12.451397
Show Author Affiliations
Ilya Zavorin, NASA Goddard Space Flight Ctr. (United States)
Harold Stone, NASA Goddard Space Flight Ctr. (United States)
Jacqueline Le Moigne, NASA Goddard Space Flight Ctr. (United States)

Published in SPIE Proceedings Vol. 4814:
Earth Observing Systems VII
William L. Barnes, Editor(s)

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