Faculty of Navigation, Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, Poland.
Independent Researcher, 70-500 Szczecin, Poland.
Sensors (Basel). 2023 May 25;23(11):5076. doi: 10.3390/s23115076.
This paper presents an assessment of the quality of selected filtration methods for the postprocessing of multibeam echosounder data. In this regard, the methodology used in the quality assessment of these data is an important factor. One of the most important final products derived from bathymetric data is the digital bottom model (DBM). Therefore, quality assessment is often based on factors related to it. In this paper, we propose some quantitative and qualitative factors to perform these assessments, and we analyze a few selected filtration methods as examples. This research makes use of real data gathered in real environments, preprocessed with typical hydrographic flow. The methods presented in this paper may be used in empirical solutions, and the filtration analysis may be useful for hydrographers choosing a filtration method for DBM interpolation. The results showed that both data-oriented and surface-oriented methods can be used in data filtration and that various evaluation methods show different perspectives on data filtration quality assessment.
本文评估了用于多波束回声测深数据后处理的几种滤波方法的质量。在这方面，用于这些数据质量评估的方法是一个重要因素。从测深数据中得到的最重要的最终产品之一是数字海底模型（DBM）。因此，质量评估通常基于与之相关的因素。在本文中，我们提出了一些用于执行这些评估的定量和定性因素，并分析了几个选定的滤波方法作为示例。本研究利用真实环境中采集的实际数据，按照典型的水文流程进行预处理。本文提出的方法可用于经验解决方案，滤波分析对于海道测量员选择用于 DBM 插值的滤波方法可能有用。结果表明，面向数据和面向表面的方法都可以用于数据滤波，并且各种评估方法对数据滤波质量评估有不同的看法。
