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Airborne full-waveform LiDAR is crucial for precise shallow-water bathymetry and terrain mapping, providing high-resolution spatial data but generating vast amounts of data that need efficient processing. This paper introduces a data processing method for airborne full-waveform LiDAR based on dual buffering and CPU-GPU heterogeneous collaborative computing. Furthermore, a four-module desktop system is developed. Data from Qingge Port is used in the demo to test the proposed method’s effectiveness and the software’s features.

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Demonstrating an Efficient System for Fast Processing and Visualization of Big Airborne Full-Waveform LiDAR Data

  • 会议论文

  • 发表日期：

    2026年

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  • Kang Li,
  • Lin Wu,
  • Xiaohui Huang,
  • Yifu Chen,
  • Yuan Le,
  • Jianxin Li,
  • Yunliang Chen

摘要

Airborne full-waveform LiDAR is crucial for precise shallow-water bathymetry and terrain mapping, providing high-resolution spatial data but generating vast amounts of data that need efficient processing. This paper introduces a data processing method for airborne full-waveform LiDAR based on dual buffering and CPU-GPU heterogeneous collaborative computing. Furthermore, a four-module desktop system is developed. Data from Qingge Port is used in the demo to test the proposed method’s effectiveness and the software’s features.