The Effects of Lidar Dsm Grid Resolution on Categorising Residential and Industrial Buildings

This paper reports the initial results of an analysis of LIDAR data using statistical methods in an attempt to categorise residential and industrial buildings. Two study sites representing these two land uses are identified. 3D models for the study area are constructed using an integrated methodology utilising the building polygons from digital map data and a LIDAR Digital Surface Model (DSM). The effects of LIDAR DSM grid resolution on the construction of the 3D model are analysed. Using statistics such as the Root Mean Square Error (RMSE) of the derived models at various LIDAR grid resolutions, the nature of building roofs in the residential and the industrial areas are identified. The height differences between the derived height and control height adopted for the 3D models are also determined for categorising the two building types. The Standard Deviation (Std. Dev.) of building height at various LIDAR DSM grid resolutions is also investigated as a discriminating measure. It is found that, due to the nature of the roof types that correspond to residential and industrial buildings, a classification of building types is possible.