图像绘图准确性评估使用无人机与独立,差分 (RTK) 和PPP GNSS定位技术在一个废弃的矿山现场
Hanjin Kim1, Chang-Uk Hyun2, Hyeong-Dong Park3
1Department of Energy Systems Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
与独立方法相比,实时动态 (RTK) GNSS定位为无人机地理定位提供了更高的准确性. 任务后精确点定位 (PPP) 也大大减少了错误,在RTK无法使用时提供了可行的替代方案.
科学领域:
- 地理学工程 工程地质学
- 遥感 遥感 遥感 遥感
- 地质测量是指地质测量.
背景情况:
- 独立的全球导航卫星系统 (GNSS) 定位因仪器,程序和环境因素而遭受多米误差.
- 实时动态 (RTK) 校正和任务后精确点定位 (PPP) 是提高GNSS准确性的先进技术.
研究的目的:
- 用不同的GNSS定位技术评估废弃矿场无人机 (UAV) 图像的地理位置准确性.
- 为了比较独立GNSS,RTK GNSS和PPP处理在提高无人机图像精度方面的性能.
主要方法:
- 通过独立GNSS,RTK GNSS和PPP处理获得的无人机数据得出的orthomosaic图像和数字海拔模型的比较.
- 使用相对相机位置错误,绝对图像映射错误 (基于地面控制点) 和矿山尾矿的体积差异来评估地理位置准确性.
主要成果:
- RTK GNSS定位在减少相对相机位置错误和绝对图像映射错误方面表现最好.
- 与独立GNSS相比,PPP后处理显著减少了69.5%的错误 (相对摄像头位置) 和59.3% (绝对图像映射).
- 无论是RTK和PPP方法都显示出与UAV地理定位的独立GNSS相比的实质性改进.
结论:
- 在需要非常高精度的精确无人机地理定位应用中,RTK GNSS非常有效.
- 任务后的PPP处理为准确的地理定位提供了有价值的替代方案,当RTK服务或设备不可行时.
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