Street Factory是新一代城市三维建模系统,它能够在人工干预极少的情况下提取高精度的真实三维模型。本文介绍了基于Street Factory对RCD-30数据进行空三加密的方法及生产中获得的一些体会,为倾斜影像在三维模型快速创建中的应用提供一...Street Factory是新一代城市三维建模系统,它能够在人工干预极少的情况下提取高精度的真实三维模型。本文介绍了基于Street Factory对RCD-30数据进行空三加密的方法及生产中获得的一些体会,为倾斜影像在三维模型快速创建中的应用提供一定的参考。展开更多
Photogrammetry is experiencing an era of democratization mostly due to the popularity and availability of many commercial off-the-shelf devices,such as drones and smartphones.They are used as the most convenient and e...Photogrammetry is experiencing an era of democratization mostly due to the popularity and availability of many commercial off-the-shelf devices,such as drones and smartphones.They are used as the most convenient and effective tools for high-resolution image acquisition for a wide range of applications in science,engineering,management,and cultural heritage.However,the quality,particularly the geometric accuracy,of the outcomes from such consumer sensors is still unclear.Furthermore,the expected quality under different control schemes has yet to be thoroughly investigated.This paper intends to answer those questions with a comprehensive comparative evaluation.Photogrammetry,in particular,structure from motion,has been used to reconstruct a 3D building model from smartphone and consumer drone images,as well as from professional drone images,all under various ground control schemes.Results from this study show that the positioning accuracy of smartphone images under direct geo-referencing is 165.4 cm,however,this could be improved to 43.3 cm and 14.5 cm when introducing aerial lidar data and total station surveys as ground control,respectively.Similar results are found for consumer drone images as well.For comparison,this study shows the use of the professional drone is able to achieve a positioning accuracy of 3.7 cm.Furthermore,we demonstrate that through the combined use of drone and smartphone images we are able to obtain full coverage of the entire target with a 2.3 cm positioning accuracy.Our study concludes that smartphone images can achieve an accuracy equivalent to consumer drone images and can be used as the primary data source for building facade data collection.展开更多
文摘Photogrammetry is experiencing an era of democratization mostly due to the popularity and availability of many commercial off-the-shelf devices,such as drones and smartphones.They are used as the most convenient and effective tools for high-resolution image acquisition for a wide range of applications in science,engineering,management,and cultural heritage.However,the quality,particularly the geometric accuracy,of the outcomes from such consumer sensors is still unclear.Furthermore,the expected quality under different control schemes has yet to be thoroughly investigated.This paper intends to answer those questions with a comprehensive comparative evaluation.Photogrammetry,in particular,structure from motion,has been used to reconstruct a 3D building model from smartphone and consumer drone images,as well as from professional drone images,all under various ground control schemes.Results from this study show that the positioning accuracy of smartphone images under direct geo-referencing is 165.4 cm,however,this could be improved to 43.3 cm and 14.5 cm when introducing aerial lidar data and total station surveys as ground control,respectively.Similar results are found for consumer drone images as well.For comparison,this study shows the use of the professional drone is able to achieve a positioning accuracy of 3.7 cm.Furthermore,we demonstrate that through the combined use of drone and smartphone images we are able to obtain full coverage of the entire target with a 2.3 cm positioning accuracy.Our study concludes that smartphone images can achieve an accuracy equivalent to consumer drone images and can be used as the primary data source for building facade data collection.
