基于辐射变换的DSM质量改进  

DSM quality improvement based on radiation transformation

作　　者：杜文俊 龚绪才 赵云景 刘小军 DU Wenjun;GONG Xucai;ZHAO Yunjing;LIU Xiaojun(Yunnan Basic Surveying and Mapping Technology Center,Kunming Yunnan 650034,China)

机构地区：[1]云南省基础测绘技术中心,云南昆明650034

出　　处：《北京测绘》2022年第10期1354-1359,共6页Beijing Surveying and Mapping

摘　　要：利用数字影像生成数字地表模型(DSM)是一种很有潜力的方式,本研究的目的是利用影像辐射变换及地理信息系统(GIS)技术评估低成本无人机数据,并研究其对DSM的总体和局部精度的影响。本研究使用了不同高度的无人机影像和激光雷达数据(LiDAR),将高飞行高度获取的原始无人机影像利用Python和ArcGIS进行辐射变换,并生成三维点云和DSM。将无人机LiDAR数据作为参考标准,总体上分析了影像辐射增强后密集点云及DSM质量的提升情况,并在局部精度评估中,将三种不同类型的土地覆盖与无人机激光雷达数据进行了比较。Digital surface model(DSM)generation from digital images is a promising approach.The purpose of this study is to evaluate low-cost unmanned aerial vehicle(UAV)data using image radiation transformation and geographic information system(GIS)technology,and to study its impact on the overall and local accuracy of DSM.In this study,UAV images and light detection and ranging(LiDAR)data at different altitudes were used.The original UAV images obtained at high flight altitudes were radiated using Python and ArcGIS,and three-dimensional(3D)point clouds and DSM were generated in Agisoft Metashape.Taking UAV LiDAR data as the reference standard,the improvement of dense point cloud and DSM quality after image radiation enhancement was analyzed in general,and three different types of land cover were compared with UAV lidar data in local accuracy assessment.

关 键 词：数字地表模型 密集点云 激光雷达(LiDAR) 辐射变换 

分 类 号：P258[天文地球—测绘科学与技术]