对于森林3D建模的无人机摄像度软件性能进行比较分析:使用AgiSoft Photoscan,PIX4DMapper和DJI Terra的案例研究
Sina Jarahizadeh1, Bahram Salehi1
1State University of New York, College of Environmental Science and Forestry (SUNY ESF), Department of Environmental Resources Engineering, 1 Forestry Dr., Syracuse, NY 13210, USA.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
DJI Terra,AgiSoft和Pix4D软件进行了比较,用于使用无人机摄像度的3D树木建模. 尽管点云密度较低,但DJI Terra在重建质量和树木检测方面表现出色,非常适合详细的森林应用.
科学领域:
- 林业林业 林业 林业 林业
- 遥感 遥感 遥感 遥感
- 这是一种摄影计量技术 (photogrammetry).
- 3D 建模 3D 建模
背景情况:
- 树木的三维 (3D) 建模对于森林管理,城市规划和碳封存至关重要.
- 无人驾驶飞行器 (UAV) 摄影测量为创建3D树模型的传统测量方法提供了经济高效的替代方案.
研究的目的:
- 为了比较三种商业无人机摄影测量软件包:AgiSoft Photoscan (Metashape),PIX4DMapper (Pix4D) 和DJI Terra.
- 根据点云密度,重建质量,计算时间和数字表面模型 (DSM) 准确度来评估和检测软件性能.
主要方法:
- 三个无人机数据集在森林区域的不同高度 (60米,100米,120米) 收集.
- 数据处理使用AgiSoft Metashape,Pix4D和DJI Terra进行.
- 评估包括点云密度,重建质量的代最近点 (ICP),处理时间,以及用于高度和树检测的DSM精度.
主要成果:
- 皮克斯4D和AgiSoft生产了比DJI Terra密度高2.5倍的点云.
- 在树木,电力线和杆子的建模方面,DJI Terra表现出了更高的重建质量,更少的差距,超过了AgiSoft和Pix4D.
- 由于其更全面的DSM,DJI Terra显示出更好的树检测能力.
结论:
- 推DJI Terra用于需要高质量的3D重建和精确树检测的应用,尽管点云密度较低.
- 对AgiSoft和DJI Terra的处理时间大约是Pix4D的一半.
- 了解软件性能对于用户来说至关重要,以确保3D森林模型的可靠性.
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