摘要
车载LiDAR数据能提供地物表面不同视角且具有容易获得高密度点云数据等优点,能为树木信息的精细提取提供有力保障。基于不同地物具有不同特征等性质,从车载LiDAR数据中对地物进行识别,将三维图形投影到二维平面上进行识别、分离、去噪及细化,运用Matlab编程实现对车载LiDAR数据中树木信息的提取。用全站仪对测区树木进行实地测量并进行定量分析,结果表明,方法可以较好地分离出构成树木的激光扫描点,达到树木提取的目的。
Vehicle-borne LiDAR data can provide the feature on the surface of different angle of views and has a higher point density,which can provide powerful guarantee for information extraction of trees.Different features have different characteristics.Based on vehicle-borne LiDAR data,the features of the nature are identified,and the 3D graphics are projected into a two-dimensional plane for recognition,separation,denoisin g and refinement.The tree information from the vehicle-borne LiDAR data based on Matlab procedure.Using total station for trees in survey area to field measurements and quantitative analysis,the result shows that this method can better identify the composition of individual trees of laser scanning points,which basically achieves the purpose to extract the trees.
出处
《测绘工程》
CSCD
2014年第8期23-27,共5页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41001304)
国家"十二五"科技支撑项目(2012BAH34B00)
河南理工大学博士基金(B2009-33)
