一个降噪算法,用于青路面表面纹理的原始3D点云数据.
Shihai Ding1, Xiaoping Chen2, Changfa Ai3,4
1School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106, Sichuan, China.
Scientific reports
|July 18, 2024
概括
一个新的算法精确地减少了3D激光扫描青路面数据中的噪音. 这种方法保留了关键的微纹理细节,优于用于道路表面分析的标准过技术.
科学领域:
- 地质技术工程 地质技术工程
- 材料科学 材料科学 材料科学
- 计算机视觉 计算机视觉
背景情况:
- 高精度的3D点云数据对于路面分析至关重要.
- 来自3D激光扫描的原始数据往往含有阻碍准确评估的噪音.
- 有效的降噪对于可靠的路面表面纹理分析至关重要.
研究的目的:
- 开发和评估一种新的降噪算法,用于青路面的原始3D点云数据.
- 提高降噪的精度,同时保持基本的微纹理信息.
- 将拟议的算法与现有的过方法进行比较.
主要方法:
- 使用便携式激光扫描仪收集了青路面纹理的原始3D点云数据.
- 开发了一个降噪算法,集成了改进的高斯过和变化系数.
- 应用并将拟议的算法与高斯式,中位数和平均值过技术进行比较.
主要成果:
- 拟议的算法有效地从路面3D点云数据中过了异常和小规模噪声.
- 评估显示,与其他方法相比,在保存微纹理结构方面表现优越.
- 主观视觉和客观指数评估证实了算法的有效性.
结论:
- 开发的算法提供了一个精确和有效的解决方案,用于降低青路面3D点云数据中的噪声.
- 它成功地消除了噪音,同时保留了关键的表面微纹理信息.
- 这一进步支持更准确的路面状况评估和分析.
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