The invention relates to a dual-polarization radar secondary echo recognition method based on a naive Bayes classifier, and the method comprises the steps: calculating four criteria, namely PDEh, PDEv, PDEhv and SQI, of a current distance library for secondary echo recognition through employing dual-polarization radar I/Q data; according to the numerical values of the four criteria, finding out each criterion CPDF which is counted in advance, obtaining the probabilities of the specified numerical values under different classifications, and calculating the probability Pf that the distance library echo data belong to primary echoes and the probability Ps that the distance library echo data belong to secondary echoes; when Ps is greater than Pf, determining that the distance library echo is a secondary echo, otherwise, determining that the distance library echo is a primary echo; and continuing to identify the next distance library. According to the method, the secondary echo recognition precision in the radar data level is improved, and the method has great significance in improving the dual-polarization radar parameter estimation quality.