顾及地形复杂度因子权重的多波束点云抽稀算法  

A thinning algorithm of multibeam point cloud considering weight of terrain complexity factor

作　　者：陈嘉阳 卜宪海 陈殿称 云天宇 阳凡林[1,2] CHEN Jiayang;BU Xianhai;CHEN Dianchen;YUN Tianyu;YANG Fanlin(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;Key Laboratory of Oceanic Surveying and Mapping,Ministry of Natural Resources of the People′s Republic of China,Qingdao,Shandong 266590,China)

机构地区：[1]山东科技大学测绘与空间信息学院,山东青岛266590 [2]自然资源部海洋测绘重点实验室,山东青岛266590

出　　处：《山东科技大学学报（自然科学版）》2022年第5期21-29,共9页Journal of Shandong University of Science and Technology(Natural Science)

基　　金：国家自然科学基金重点项目(41930535);高端外国专家引进计划项目(G2021025006L);山东省研究生教育创新计划建设项目(SDYJG19083)。

摘　　要：多波束测深数据具有海量性与冗余性的特点,在实际应用中有必要进行简化处理。现有抽稀算法大多基于单一特征参数实现,其结果往往存在地形细节丢失、地形真实性欠佳等问题,为此提出一种顾及地形复杂度因子权重的多波束点云抽稀算法。该算法首先筛选地形起伏度、坡度和粗糙度作为评价因子,然后采用改进CRITIC综合评价法构建地形复杂度指标,基于该指标实现了点云的初步抽稀;最后通过自适应格网保留局部特征点,进一步改善抽稀质量。实验表明:与传统算法相比,该算法的抽稀结果在多级简化率条件下均具有更低的均方根误差(RMSE),有效提升了简化后的地形精度,能够保留更多的地形细节特征。For its characteristics of mass and redundancy,multi-beam sounding data needs to be simplified in practical applications.However,most of the existing thinning algorithms are implemented based on a single feature parameter and the results often have such problems as the loss of terrain details and poor terrain authenticity.Therefore,a thinning algorithm of multi-beam point cloud considering the weight of terrain complexity factor was proposed in this paper.Firstly,the algorithm selected terrain relief,slope and roughness as evaluation factors,and then constructed the terrain complexity index by using the improved CRITIC comprehensive evaluation method.Based on this index,the initial thinning of the point cloud was realized.Finally,the local feature points were retained by adaptive grid to further improve the thinning quality.The experiments show that compared with traditional algorithms,the thinning results of the proposed algorithm have lower root mean square error(RMSE)under the condition of multi-level simplification rate,which can effectively improve the simplified terrain accuracy and retain more terrain detail features.

关 键 词：多波束数据 点云抽稀 地形复杂度 CRITIC法 

分 类 号：P229.1[天文地球—大地测量学与测量工程]