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In the rugged and densely vegetated landscapes of Southwest China, traditional geological surveys face significant challenges in acquiring high-precision data. This study introduces an innovative framework—POU (Profiling Outcrop Unveiling)—which integrates UAV (Unmanned Aerial Vehicle)-based oblique photogrammetry, high-resolution 3D modeling, and immersive virtual interaction to overcome these limitations. Focusing on the Late Mesozoic strata of the Chuxiong Basin in Yunnan, high-resolution imagery was acquired using a DJI Mavic 2 Pro drone, and sub-centimeter accuracy 3D geological models were generated with RealityCapture. These models enabled detailed digital analysis and quantification of rock layer attributes such as color, composition, and structure. Human–computer collaborative interpretation and interactive geological analysis were realized using Unreal Engine 5. Results demonstrate the clear advantages of the POU approach in complex terrain, particularly for geological mapping and resource assessment. This research offers a methodological breakthrough and a practical reference for advancing intelligent, 3D-enabled digital geological survey systems.

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3D Modeling and Analysis Methods for Geological Profile Outcrop Unveiling Based on Drone

  • 会议论文

  • 发表日期：

    2026年

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  • Haichuan Duan,
  • Wanneng Wang,
  • Honghui Zhang,
  • Ya Gu,
  • Yi Wen,
  • Changyuan Xiao

摘要

In the rugged and densely vegetated landscapes of Southwest China, traditional geological surveys face significant challenges in acquiring high-precision data. This study introduces an innovative framework—POU (Profiling Outcrop Unveiling)—which integrates UAV (Unmanned Aerial Vehicle)-based oblique photogrammetry, high-resolution 3D modeling, and immersive virtual interaction to overcome these limitations. Focusing on the Late Mesozoic strata of the Chuxiong Basin in Yunnan, high-resolution imagery was acquired using a DJI Mavic 2 Pro drone, and sub-centimeter accuracy 3D geological models were generated with RealityCapture. These models enabled detailed digital analysis and quantification of rock layer attributes such as color, composition, and structure. Human–computer collaborative interpretation and interactive geological analysis were realized using Unreal Engine 5. Results demonstrate the clear advantages of the POU approach in complex terrain, particularly for geological mapping and resource assessment. This research offers a methodological breakthrough and a practical reference for advancing intelligent, 3D-enabled digital geological survey systems.