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.
© 2011 Chinese Optics Letters
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