基于数学形态学原理的Lidar点云数据分类在植被信息分离中的应用

Application of Lidar Point Data-Set Classification in Vegetation Information Remove Based on Principle of Mathematical Morphology

激光雷达(Lidar)的自身优势使其越来越受到广泛地的应用,然而点云数据分类工作制约了Lidar技术的进一步发展。介绍了基于数学形态学原理的点云数据分类方法,重点分析了植被信息的分离,并将实验结果同使用TerraScan软件分类的结果进行比对,可以得出基于数学形态学原理的分类方法的操作原理与过程简单实用,有较强的可控性,具有进一步开发的潜力,同时也存在一些问题和缺陷需进一步研究。

Lidar has been widely applied due to its advantages. However, the classification of point data sets has become the bottleneck for its further development. Based on the principle of mathematical morphology, a method for the classification is introduced with emphasis of regetation-information Remove. The experimental results by this method are compared with the results from utlization of the TerraScan software. It is learnt from the comparison that this method by mathematical morphology is easier to put into orperation, its operational process is simpler, more practical, and more controllable. The method can be potentially developed althongh the problems and defects with it need further solving.