Abstract
Image registration is one of the most important steps in the analysis of remotely sensed data. Mutual information is a robust similarity metric in image registration. Unfortunately mutual information neglects spatial information. In this work, we propose a new similarity metric for image registration called enhanced mutual information (EMI), which combines mutual information with a weighting function based on the absolute difference of corresponding pixel values. We also use subimages with high entropy as a search data strategy Experimental results show that our proposed method was more robust to noise and accurate than the standard methods used.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have