摘要
基于数学形态学的点云滤波算法具有原理简单、实现效率高的特点,因而被众多学者研究,并进行与之相关算法的改进。近几年提出的布料模拟的滤波算法(CSF),因其用户定义的参数少且易于设置,开始受到广泛关注。选取15组实验样本分别对2种算法进行滤波实验,并进行适应性分析。结果表明,2种算法在地形平坦区域都能取得理想的滤波效果,在城市等综合复杂地形区域取得了相对较好的滤波效果,在乡村等地形陡峭复杂区域滤波效果较差。
The point cloud filtering algorithm based on mathematical morphology has the characteristics of simple principle and high efficiency,so it has been studied by many scholars and improved related algorithms.The recently proposed filter algorithm(CSF) for cloth simulation,because of its few user-defined parameters and easy setting,has begun to receive widespread attention.In this paper,15 groups of experimental samples are selected to conduct filtering experiments on the two algorithms and analyze their adaptability.The results show that both algorithms can achieve ideal filtering effects in flat terrain areas,relatively good filtering effects in comprehensive and complex terrain areas such as cities,and poor filtering effects in areas with steep and complex terrain such as rural areas.
作者
王凯
鲁铁定
鲁春阳
刘盈
WANG Kai;LU Tieding;LU Chunyang;LIU Ying(Faculty of Geomatics,East China University of Technologa,330013,Nanchaag,PRC;Schoot of Surveying and Mapping and Urban Spatial Information,Henan Urban Construction Univevity,467036,Pingdingshan,Henan,PRC;School of Electronics and Information Engineering,Jinggangshan University,343009,Ji'an,Jiangxi,PRC)
出处
《江西科学》
2020年第6期805-810,838,共7页
Jiangxi Science
基金
国家重点研发计划项目(2016YFB0501405,2016YFB0502601-04)
江西省科技落地计划项目(KJLD12077)
江西省自然科学基金项目(2017BAB203032)。
关键词
点云滤波
数学形态学滤波算法
布料模拟滤波算法
适应性分析
point cloud filtering
mathematical morphology filtering algorithm
cloth simulation filtering algorithm
adaptability analysis
