DOI: 10.1016/j.jag.2016.06.005
Scopus记录号: 2-s2.0-84997638177
论文题名: Generating spike-free digital surface models using LiDAR raw point clouds: A new approach for forestry applications
作者: Khosravipour A ; , Skidmore A ; K ; , Isenburg M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 104
结束页码: 114
语种: 英语
英文关键词: Delaunay triangulation
; Digital surface model
; LiDAR
; Pit-free
; Point cloud
Scopus关键词: algorithm
; digital elevation model
; forest canopy
; forestry
; interpolation
; lidar
; triangulation
英文摘要: Accurately detecting single trees from LiDAR data requires generating a high-resolution Digital Surface Model (DSM) that faithfully represents the uppermost layer of the forest canopy. A high-resolution DSM raster is commonly generated by interpolating all first LiDAR returns through a Delaunay TIN. The first-return 2D surface interpolation struggles to produce a faithful representation of the canopy when there are first returns that have very similar x-y coordinates but very different z values. When triangulated together into a TIN, such constellations will form needle-shaped triangles that appear as spikes that geometrically disrupt the DSM and negatively affect treetop detection and subsequent extraction of biophysical parameters. We introduce a spike-free algorithm that considers all returns (e.g. also second and third returns) and systematically prevents spikes formation during TIN construction by ignoring any return whose insertion would result in a spike. Our algorithm takes a raw point cloud (i.e., unclassified) as input and produces a spike-free TIN as output that is then rasterized onto a corresponding pit-free DSM grid. We evaluate the new algorithm by comparing the results of treetop detection using the pit-free DSM with those achieved using a common first-return DSM. The results show that our algorithm significantly improves the accuracy of treetop detection, especially for small trees. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80019
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Natural Resources, Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede, Netherlands; Rapidlasso GmbH, Casparigasse 16, Sommerhausen, Germany
Recommended Citation:
Khosravipour A,, Skidmore A,K,et al. Generating spike-free digital surface models using LiDAR raw point clouds: A new approach for forestry applications[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52