Department of Real Estate, Planning and Geoinformatics, Aalto University, Aalto FI-00076, Finland.
Sensors (Basel). 2013 Sep 17;13(9):12497-515. doi: 10.3390/s130912497.
Mobile mapping systems (MMSs) are used for mapping topographic and urban features which are difficult and time consuming to measure with other instruments. The benefits of MMSs include efficient data collection and versatile usability. This paper investigates the data processing steps and quality of a boat-based mobile mapping system (BoMMS) data for generating terrain and vegetation points in a river environment. Our aim in data processing was to filter noise points, detect shorelines as well as points below water surface and conduct ground point classification. Previous studies of BoMMS have investigated elevation accuracies and usability in detection of fluvial erosion and deposition areas. The new findings concerning BoMMS data are that the improved data processing approach allows for identification of multipath reflections and shoreline delineation. We demonstrate the possibility to measure bathymetry data in shallow (0-1 m) and clear water. Furthermore, we evaluate for the first time the accuracy of the BoMMS ground points classification compared to manually classified data. We also demonstrate the spatial variations of the ground point density and assess elevation and vertical accuracies of the BoMMS data.
移动测绘系统 (MMS) 用于测绘地形和城市特征，这些特征用其他仪器测量既困难又耗时。MMS 的好处包括高效的数据采集和多功能的可用性。本文研究了船载移动测绘系统 (BoMMS) 数据的数据处理步骤和质量，用于生成河流环境中的地形和植被点。我们在数据处理中的目标是过滤噪声点、检测海岸线以及水下点，并进行地面点分类。以前关于 BoMMS 的研究已经调查了高程精度和在检测河流侵蚀和沉积区方面的可用性。关于 BoMMS 数据的新发现是，改进的数据处理方法允许识别多径反射和海岸线划定。我们演示了在浅水区（0-1 米）和清澈的水中测量水深数据的可能性。此外，我们首次评估了 BoMMS 地面点分类相对于手动分类数据的准确性。我们还演示了地面点密度的空间变化，并评估了 BoMMS 数据的高程和垂直精度。
