Soft Segmentation and Reconstruction of Tree Crown from Laser Scanning Data

Point cloud data obtained by laser scanning can be used for object shape modeling and analysis, including forest inventory. One of the inventory tasks is individual tree extraction measurement. However, segmentation, especially crown challenging. In this paper, we present a novel soft segmentation algorithm to segment crowns in point clouds automatically reconstruct surface from segmented cloud. The mainly processes overlapping region crown. experimental results showed that was accurate, reconstructed looked natural. reconstruction highly efficient calculating time memory cost aspects since number extracted boundary points small. With geometry, attributes, width, height, superficial area, projecting ground volume, could estimated. presented here effective segmentation.