Two Radarsat-2 images acquired in fine quad-polarized mode were chosen for this study. The images were collected in leaf-on and leaf-off seasons. The experimental results demonstrated that the neighboring information provides valuable information for the classification of Polarimetric SAR data. The classification results showed that the proposed methodimproves classification accuracy significantly over the baseline methods.