标题:A Research on MBES data classification denoising algorithm based on Octree index
作者:Li, Xiaokai; Zhang, Fan; Wang, Yue; Chen, Huanjian
通讯作者:Li, Xiaokai;Li, XK
作者机构:[Li, Xiaokai; Zhang, Fan; Wang, Yue; Chen, Huanjian] Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Shandong, Peoples R China.
会议名称:4th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE)
会议日期:DEC 07-09, 2018
来源:4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING
出版年:2019
卷:237
期:2
DOI:10.1088/1755-1315/237/2/022011
摘要:For the Multi-Beam Echo Sounder (MBES) data denoising problem, the noise is divided into near-ground noise and outlier noise away from the seabed. The algorithm in this paper considers the spatial distribution characteristics of noise and removes two kinds of noise by initial denoising and precise denoising. The algorithm first uses the octree index to organize the point cloud and removes the outlier noise. Then combined with Bayesian estimation theory and statistical methods to remove near-ground noise. This paper designs experiments to process MBES data and compare it with the statistical filter of PCL point cloud library. The experimental results show that compared with the PCL statistical filter, the algorithm used in this paper has good denoising effect and can better preserve the information such as regional boundaries.
收录类别:CPCI-S;EI
资源类型:会议论文
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