Nonrigid Feature Matching for Remote Sensing Images via Probabilistic Inference With Global and Local Regularizations.

In this letter, we propose a probabilistic method for the feature matching of remote sensing images which undergo nonrigid transformations. We start by creating a set of putative correspondences based on the feature similarity and then focus on removing outliers from the putative set and estimating the transformation as well. This is formulated as a maximum likelihood estimation of a Bayesian mode...