A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE
This paper is addressed to an approach for segmenting airborne laser scanning point cloud. It aims to detect and cluster point cloud of an input roof into several segments that are corresponding to plane patches of the roof. The algorithm is developed based on the assumption that every non-flat roof can be decomposed into a set of gabled and/or hipped roof. The process detects roof ridges at first, and then detects points along each roof ridge. The experiments shows high efficiency and low error segmentation of the algorithm.