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Volume: 0 | Article ID: 040506
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Impact of Flight Altitude and Photo Control Points on the Accuracy of 2D and 3D Modeling in UAV Surveys: A Case Study of Jurong Dongshan River
Abstract
Abstract

Taking the Jurong Dongshan River as an illustrative case, we employed a Dajiang Phantom 4 RTK SE unmanned aerial vehicle (UAV) for single-lens tilt photography. Our investigation focused on examining the influence of varying flight altitudes (FA: 30 m, 60 m and 90 m) and the configuration of photo control points on two-dimentional (2D) or three-dimensional (3D) mapping accuracy of river embankments, slopes, and hydraulic structures, as well as the analysis of outcomes of 2D and 3D modeling under different FA conditions augmented with supplementary photographs. Our observations revealed that the longitude and elevation accuracy at 30 m FA were higher without photo control operations compared to those at 60 m and 90 m FA, and accuracy diminished as FA increased. Specifically, the longitude accuracy of the embankment photo control points exceeded that of the slope photo control points, whereas the elevation accuracy of the embankment photo control points was superior at FAs of 60 m and 90 m. The geographical location deviation of hydraulic structures (irrigation intake gates) in the 2D model was larger than that obtained in the 3D model. Notably, the incorporation of additional detailed photographs significantly augmented the modeling efficacy of UAV aerial survey data, especially in capturing intricate plant and slope details. It is recommended that the Phantom 4 RTK SE be used at FA of 90 m to establish a foundational channel model, along with capture of additional detailed photographs of crucial structures, slopes, etc., and obtaining geographic location information in 3D Models.

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Hongfei Lu, Shan Yang, Hao Zhou, Jin Zhao, Fangfang Bai, Yang Han, Bo Zhen, "Impact of Flight Altitude and Photo Control Points on the Accuracy of 2D and 3D Modeling in UAV Surveys: A Case Study of Jurong Dongshan Riverin Journal of Imaging Science and Technology,  2025,  pp 1 - 15,  https://doi.org/10.2352/J.ImagingSci.Technol.2025.69.4.040506

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Copyright © Society for Imaging Science and Technology 2025
  Article timeline 
  • received August 2024
  • accepted January 2025

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