摘要
精准有效的三维时空信息是新型基础设施建设、实景三维中国、自然资源管理与监测等国家重大需求不可或缺的重要支撑。测绘装备的快速发展提升了点云和影像获取的便捷性,为智能化测绘提供了一种全新技术手段。然而,如何从点云、影像中智能地提取三维时空信息仍然面临诸多困境。本文围绕城市场景中地物目标智能化提取的需求,重点阐述点云位置精度改善、点云与全景影像融合、部件级典型地物要素精细提取、软件研发与工程实践4个方面的关键技术与研究进展,为实景三维中国建设等提供关键支持。
3D spatial-temporal information is indispensable for the major national needs of new infrastructure construction,digital twin cities,natural resource management and monitoring.The rapid development of surveying and mapping equipment is beneficial to improve the convenience of point cloud and image acquisition,providing a new technical means for smart surveying and mapping.However,how to intelligently extract 3D spatial-temporal information from point cloud and image is still facing challenges.Surrounding the core of the smart surveying and mapping,this paper focuses on the key technologies and research progress of point cloud location accuracy improvement,point cloud and panoramic image fusion,component-level urban objects extraction,software development and practice.
作者
杨必胜
陈驰
董震
YANG Bisheng;CHEN Chi;DONG Zhen(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China)
出处
《测绘学报》
EI
CSCD
北大核心
2022年第7期1476-1484,共9页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(41725005,42172431)。
关键词
三维信息提取
点云
特征融合
智能化测绘
人工智能
3D geospatial information extraction
point cloud
feature fusion
smart surveying and mapping
artificial intelligence
