Object classification in LiDAR data is one of the fundamental processes for topographic mapping because LiDAR data has lack of semantic information with huge storage requirement. In this study, region based strategy was applied to classification in order to preserve local topographic property. The data was classified with ground, buildings and trees based on weighted distance measure between points.