Outliers Removed Method based on TerraSolid

摘要：

Point clouds which received from LiDAR include numbers of outliers. Some of filter algorithms use the lowest point assuming to be the ground point, filter continue using it as the initial ground, and then bring the negative influence for filtering. So, we need remove outliers. This paper presents the analysis of histograms frequency combined with the neighboring points searching for removing outliers. The method analyzes the frequency of histograms that elevation values of airborne LiDAR points; then searches neighboring points of every point to remove outliers. The results of the experiments show the method can effectively remove outliers in original point clouds, especially for clustering high outliers, and retain the original surface features.

关键词： airborne LiDAR outlier detection analysis for the frequency of histograms neighboring points searching

作者: Dongjing Zhang jixian Liu zhengjun

作者单位: China Academy of Surveying & Mapping Beijing, 100830,China Liaoning Technical University School of G China Academy of Surveying & Mapping Beijing, 100830,China

会议类型: 国际会议

会议名称: 2010 International Asia Conference on Optical Instrument and Measurement(2010年IEEE光学仪器与测量国际会议 ACPIM 2010)

会议地点: 深圳

会议语种:英文

页码: 129-132

在线出版日期: 2010-11-20（万方平台首次上网日期，不代表论文的发表时间）