A Robust SIFT Descriptor for Multispectral Images
Sajid Saleem, Robert Sablatnig · IEEE Signal Processing Letters · 2014
This letter presents a novel method for the description of multispectral image keypoints. The method proposed is based on a modified SIFT algorithm. It uses normalized gradients as local image features for the description of keypoints in order to achieve robustness against non linear intensity changes between multispectral images. The experimental results show that the method proposed achieves a better matching performance and outperforms the SIFT algorithm.