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- W2080875176 abstract "A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed. Affine invariant SIFT descriptor is first developed in an elliptical region determined by the Hessian matrix of the feature points. Thereafter, the descriptor is mapped to a feature space induced by a kernel, and a new descriptor is constructed by whitening the mapped descriptor in the feature space, with the transform called KW-SIFT. In a final step, the new descriptor is used to register remote-sensing images. Experimental results for remote-sensing image registration indicate that the proposed method improves the registration performance as compared with other related methods." @default.
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- W2080875176 date "2011-01-01" @default.
- W2080875176 modified "2023-10-14" @default.
- W2080875176 title "基于KW-SIFT描述子的遥感图像配准" @default.
- W2080875176 doi "https://doi.org/10.3788/col201109.061001" @default.
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