A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration
Abstract— A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration. Robustness and accuracy are the two main challenging problems in feature-based remote sensing image registration. In this letter, a novel point-matching algorithm is proposed. An improved random sample consensus (RANSAC) algorithm called ast < Final Year Projects 2016 >sample consensus (FSC) is proposed. It divides the data set in RANSAC into two parts: the sample set and the consensus set. Sample set has high correct rate and consensus set has a large number of correct matches. An iterative method is put forward to increase the number of correct correspondences. A set of measures has been used to evaluate the registration result.