A DisDBN is proposed to characterize SAR image patches in an unsupervised manner.
Both the CPL and IPL are investigated to produce prototypes of SAR image patches.
Some weak decision spaces are constructed based on the learned prototypes.
A high-level feature is learned for the SAR image patch in a hierarchy manner.
We show that our method can achieve a better classification performance.