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Democratizing photogrammetry:an accuracy perspective

Geo-Spatial Information Science 2023年第2期26卷 175-188页

作者： Jie Shan Zhixin Li Damon Lercel Kevan Tissue Joseph Hupy joshua carpenter School of Civil Engineering Purdue UniversityWest LafayetteINUSA School of Aviation and Transportation Technology Purdue UniversityWest LafayetteINUSA

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 *** 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 ***,the quality,particularly the geometric accuracy,of the outcomes from such consumer sensors is still ***,the expected quality under different control schemes has yet to be thoroughly *** paper intends to answer those questions with a comprehensive comparative ***,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 *** 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,*** results are found for consumer drone images as *** comparison,this study shows the use of the professional drone is able to achieve a positioning accuracy of 3.7 ***,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 *** 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.

关键词： Drone smartphone photogrammetry Structure from Motion(SfM) aero triangulation point clouds

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