基于KNN_PCF和Hy_WHF的离岸石油和天然气平台点云数据的组合过方法及其在3D重建中的应用
Chunqing Ran1, Xiaobo Zhang1, Hao Yu1,2
1College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
一种新的过方法增强了海上石油平台的3D激光扫描. 这种先进的技术提高了复杂的海洋环境中的数据准确性和细节保存.
科学领域:
- 海洋工程 海洋工程
- 地理空间数据处理.
- 机器人和自动化 机器人和自动化
背景情况:
- 深海石油勘探需要精确评估和维护海洋结构.
- 传统的测量方法与离岸平台的规模和复杂性作斗争.
- 三维 (3D) 激光扫描提供了潜力,但面临着海洋环境噪音的挑战.
研究的目的:
- 开发一种有效的方法来处理来自海上石油和天然气平台的杂3D激光扫描数据.
- 提高海洋结构3D数据采集的准确性和效率.
- 为预制和维护提供可靠的维度数据.
主要方法:
- 一种新的过方法,将K-Nearest-Neighborhood (KNN) 过与基于超标函数的加权混合过相结合.
- 应用算法处理从海上石油和天然气平台获得的点云数据.
- 对现有技术进行比较分析以评估性能.
主要成果:
- 提出的方法大大提高了噪音点过效率约11%.
- 与当前方法相比,数据处理中的总错误减少了0.6个百分点.
- 该算法有效地消除噪音,并保留关键的结构细节,即使在高密度区域.
结论:
- 开发的过技术在具有挑战性的海洋环境中为3D激光扫描数据处理提供了卓越的性能.
- 这种方法提高了数据的准确性,并优化了离岸平台的3D重建.
- 所产生的可靠的维度信息支持海上结构的高效陆地预制.
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