New approach for automatic detection of buildings in airborne laser scanner data using first echo only

摘要: Airborne laser scanning has become a significant 3D data acquisition technique in the field of surveying. By measuring point clouds defined three-dimensional coordinates, this provides almost automatically Digital Surface Models (DSMs). But for city modelling, discrimination between terrain and elevated objects based on surface model is still challenging task, since fully automatic extractions are not operational. Moreover, some available methods combine several echoes although echo separation always obvious sometimes last reliable. In context, aim study to develop general segmentation method Lidar focussing exclusively first without any external data. The result proposed methodology buildings terrain, by excluding vegetated areas. step, off-terrain discriminated, mainly threshold features as literature, but improved generalized case brutal discontinuities. second vegetation categorized subclasses class. innovation exposed approach lies exploitation whole analysis levels combining points, pixel, segment spatial information. Thus, processing chain benefits from planimetric altimetric information cloud. complete workflow presented, well its limitations. At last, satisfying results obtained three different test sites covered two cloud densities validate our chain.