桂林理工大学学报2023，Vol.43Issue(4)：653-658,6.DOI:10.3969/j.issn.1674-9057.2023.04.014
多源数据融合的异型建筑物精细化重建
Refined reconstruction of irregular buildings based on multi-source data fusion
摘要
Abstract
It is difficult to collect complete structural texture information quickly and efficiently with a single modeling method considering the unique architectural forms of iconic buildings in urban areas.In order to solve this problem,manual removal if fully used in multiple data sources in large areas of deformation,a combination of coarse and ICP fine registration methods were used to stitch data and unify fused data in the same coordinate system together.This method not only guarantees the integrity of textural and structural information of the unique buildings collected by ground-based LiDAR,but also resolves issues such as distortion and deformation which is caused by self-occlusion during the collection of building information by UAV.Results show that the fused geo-metric and textural information of the unique buildings is more refined and complete than the unfused.It optimi-zes the process of modeling unique buildings.关键词
激光雷达/倾斜摄影/融合/点云/异型建筑物Key words
LiDAR/tilt photography/fusion/point cloud/irregular building分类
信息技术与安全科学引用本文复制引用
康传利,张振宇,彭素琪,兰猗令,凌聪聪..多源数据融合的异型建筑物精细化重建[J].桂林理工大学学报,2023,43(4):653-658,6.基金项目
国家自然科学基金项目(41961063) （41961063）
