The invention discloses a polarized SAR (Synthetic Aperture Radar) image classifying method. The polarized SAR image classifying method comprises the following steps: S1, extracting characteristics of a polarized SAR image as follows: scattering entropy H, anti-entropy A and a scattering angle alpha, wherein an obtained characteristic set (H, A, alpha) is taken as a first characteristic set; S2, after decomposing the polarized SAR image into two sub-aperture images, respectively extracting characteristics of the two sub-aperture images as follows: scattering entropies H, anti-entropies A and scattering angles alpha, thus obtaining two sub characteristic sets (H1, A1, alpha 1) and (H2, A2, alpha 2); S3, subtracting each corresponding characteristic value in the two sub characteristic sets to obtain a set (Delta H, Delta A, Delta alpha) of a difference value of each corresponding characteristic as a second characteristic set; and S4, inputting the first characteristic set and the second characteristic set into a decision-making tree classifying model to obtain the classified result of the polarized SAR image. The polarized SAR image classifying method disclosed by the invention is used, so that precision of classified result can be improved.