NAIVE BAYES CLASSIFIER BASED ON IMAGE CLASSIFICATION

摘要

According to the present invention, 2-dependence naive bayes (2-DNB) is designed based on solving a vulnerable assumption of conditional independence of a feature in an image in a simple naive bayes nearest neighbor (NBNN) image classifier. Unlike other image classification methods (spatial pyramid matching (SPM), bag of words (BOG)), the 2- DNB takes an advantage of the NBNN, so the same is very simple and does not need a further learning/educational stage. Also, the 2-DNB is a unique non-parameter classifier designed based on a unique image space since the feature extracted from one image of earth verification data is dependent more than a research in other fields or related thereto.;COPYRIGHT KIPO 2016