作者: T. Aschoff , M. Thies , H. Spiecker
DOI:
关键词: Triangulated irregular network 、 Measure (mathematics) 、 Remote sensing 、 Digital elevation model 、 Geography 、 Forest inventory 、 Terrain 、 Point cloud 、 Triangulation (social science) 、 Tree (data structure)
摘要: A method for extracting forest parameters is described in this paper. The 3D point clouds derived from phase difference laser scanners forests were processed a step-wise separation. first step contains basic filter methods to reduce raw data which, separates isolated points or deletes those artefacts resulting the ambiguity problem. next includes using algorithms isolate main object categories of stands: terrain and trees. digital model (DTM) calculated as triangulated irregular network (TIN). Based on this, are sliced at different heights above ground included co-ordinates projected 2D layers. following steps use image analysis derive single tree positions diameters Hough-transformation used detection trees circle approximation localise exactly. For precise stem, triangulation conducted power crust algorithm. developed enable one measure some standard inventory parameters. Unfortunately, important such species height have not yet been extracted scanning data. Indeed, acceptance method, these play key role. Further work has investigate an automatic way extract cloud.