多波束数据内业处理方法研究  

Research on Indoor Processing Method of Multi-beam Data

作　　者：汪诗奇 王莹 陈科 石晨辰 孙嘉骏 WANG Shiqi;WANG Ying;CHEN Ke;SHI Chenchen;SUN Jiajun(Institute of Information Technology,Power China Kunming Engineering Corporation Limited,Kunming 650051,China)

机构地区：[1]中国电建集团昆明勘测设计研究院有限公司信息技术研究院,云南昆明650051

出　　处：《测绘与空间地理信息》2022年第11期219-221,共3页Geomatics & Spatial Information Technology

摘　　要：多波束数据内业处理主要依靠CARIS软件进行,其自动滤波结果中往往包含较多异常数据点,传统的处理方式是依靠人工编辑剔除异常数据,导致内业处理时间较长、效率很低。针对这一问题,本文提出了利用自研点云滤波工具提高多波束数据内业处理效率的方法。首先对传统的多波束数据处理流程进行了介绍,分析了影响总体处理时间的主要问题;其次对自研的点云滤波工具进行了介绍,并借助于该工具对传统的多波束数据处理流程进行改进;最后通过对实测数据进行处理来验证本文提出的方法。实验结果表明,本文方法处理结果与人工编辑结果水深差值中误差仅为0.083 m,但处理时间极大缩短,内业处理效率得到了很大提升。Multi-beam data processing mainly relies on CARIS software, and its automatic filtering results often contain many abnormal points. The traditional processing method relies on manual editing to eliminate abnormal data, which results in long processing time and low efficiency. To solve this problem, this paper proposes a method to improve the efficiency of multi-beam data processing by using self-developed point cloud filtering tool. Firstly, the traditional multi-beam data processing process is introduced, and the main problems affecting the overall processing time are analyzed. Secondly, the self-developed point cloud filtering tool is introduced, and the traditional multi-beam data processing process is improved by this tool. Finally, the proposed method is verified by processing the measured data. The experimental results show that the root mean square error between these two processing results is only 0.083 m, and the processing time is greatly decreased, which greatly improves the work efficiency.

关 键 词：多波束测量系统 CARIS软件 人工编辑 异常数据滤波 

分 类 号：P229[天文地球—大地测量学与测量工程]