首页|基于PCA配准策略的地质灾害三维建模

基于PCA配准策略的地质灾害三维建模

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为了构建精细化地质灾害三维模型,实现地质灾害风险隐患评估与预警监测,本文结合无人机(UAV)航拍和地面激光扫描技术手段,提出主成分分析(PCA)配准策略,实现空、地点云数据整合与优化,并通过实例进行验证.结果表明,基于本文提出的PCA配准策略可实现地质灾害的精细化建模,解决多源数据配准问题,弥补单一数据源下三维模型构建的不足,提升地质灾害三维模型精确性与一致性,为地质灾害三维建模提供新的技术手段.
3D modeling of geological hazards based on PCA registration strategy
In order to build a refined 3D model of geological hazards and make risk assessment and early-warning monitoring,this paper proposes a principal components analysis(PCA)registration strategy based on unmanned aerial vehicle(UAV)aerial photography and ground laser scanning technology to realize the integration and optimization of space and location cloud data,and illustrates the strategy by examples.The results show that the method based on PCA registration strategy can be used to make fine modeling of geological hazards,solve the problem of multi-source data registration,make up the defects of 3D model construction under a single data source,improve the accuracy and consistency of 3D model of geological disasters,and provide new technical means for 3D modeling of geological disasters.

UAVoblique photographylaser scanningpoint cloud fusionspace-ground data integration

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广东省核工业地质调查院,广东广州 510800

无人机 倾斜摄影 激光扫描 点云融合 空地一体

2024

测绘技术装备
国家测绘局测绘标准化研究所 全国测绘科技信息网

测绘技术装备

影响因子:0.379
ISSN:1674-4950
年,卷(期):2024.26(3)