Iterative pyramid-based approach to subpixel registration of multisensor satellite imagery

Ilya Zavorin; Harold Stone; Jacqueline Le Moigne

doi:10.1117/12.451397

24 September 2002 Iterative Pyramid-Based Approach to Subpixel Registration of Multisensor Satellite Imagery

Ilya Zavorin, Harold Stone, Jacqueline Le Moigne

Proceedings Volume 4814, Earth Observing Systems VII; (2002) https://doi.org/10.1117/12.451397
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

Ilya Zavorin, Harold Stone, and Jacqueline Le Moigne "Iterative Pyramid-Based Approach to Subpixel Registration of Multisensor Satellite Imagery", Proc. SPIE 4814, Earth Observing Systems VII, (24 September 2002); https://doi.org/10.1117/12.451397

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