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  • Title: Remote sensing image registration approach based on a retrofitted SIFT algorithm and Lissajous-curve trajectories.
    Author: Song ZL, Li S, George TF.
    Journal: Opt Express; 2010 Jan 18; 18(2):513-22. PubMed ID: 20173871.
    Abstract:
    Through retrofitting the descriptor of a scale-invariant feature transform (SIFT) and developing a new similarity measure function based on trajectories generated from Lissajous curves, a new remote sensing image registration approach is constructed, which is more robust and accurate than prior approaches. In complex cases where the correct rate of feature matching is below 20%, the retrofitted SIFT descriptor improves the correct rate to nearly 100%. Mostly, the similarity measure function makes it possible to quantitatively analyze the temporary change of the same geographic position.
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