Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao
Qingquan Li, Wenshuai Yu, San Jiang

TL;DR
This paper introduces optimized views photogrammetry for urban 3D modeling, demonstrating its high accuracy and potential in large-scale city environments through precision analysis and a case study in Qingdao.
Contribution
It presents a novel optimized views approach that enhances UAV trajectory planning and data collection for urban 3D modeling, outperforming traditional methods.
Findings
Achieves 3-5 times higher accuracy in urban mesh models
Constructs stable image connection networks for complex scenes
Demonstrates reliability in large-scale city modeling
Abstract
UAVs have become one of the widely used remote sensing platforms and played a critical role in the construction of smart cities. However, due to the complex environment in urban scenes, secure and accurate data acquisition brings great challenges to 3D modeling and scene updating. Optimal trajectory planning of UAVs and accurate data collection of onboard cameras are non-trivial issues in urban modeling. This study presents the principle of optimized views photogrammetry and verifies its precision and potential in large-scale 3D modeling. Different from oblique photogrammetry, optimized views photogrammetry uses rough models to generate and optimize UAV trajectories, which is achieved through the consideration of model point reconstructability and view point redundancy. Based on the principle of optimized views photogrammetry, this study first conducts a precision analysis of 3D models…
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Taxonomy
TopicsRemote Sensing and LiDAR Applications · 3D Surveying and Cultural Heritage · Advanced Vision and Imaging
