The vehicle-borne laser scanning（VLS） technology can quickly acquire three-dimensional information of earth surface with high precision.As a new technique of data collection acquisition

it has been gradually applied to Geographic Information System（GIS） industry.The classification on laser scanning points（LSP） is the premise and key step to the feature extraction and the model building of urban objects.This paper presents a classification method mainly suitable for the urban’s typical objects.Firstly

it extracts the LSP of the ground surface through taking three items into account

including characteristics of data collection

the vehicle’s GPS trajectory

and the slope relationship between the adjacent LSP in the same scanning line.Secondly

as for the remaining LSP

the object division should be completed first through the methods of Grid and Segmentation

and then performs the objects classification by computing several statistical indicators of the spatial characteristics.Finally

this paper takes the Sanya city as the study area

to verify the effectiveness of this method.The result shows that

this classification method successfully classifies the categories of the ground

buildings

trees and street lamps from the LSP.