Interpolating Bathymetric Big Data for an Inland Mobile Navigation System.

Depth information is crucial in most navigational analysis and decision support implemented in existing inland navigation systems. Bathymetric data sets need to be preprocessed and converted into Digital Terrain Model (DTM) by interpolation methods to provide different vector layers for Electronic Navigational Chart. Data for inland waters need to be precise and valid due to quickly alternating inland environment and much shallower areas than on marine waters. At the same, time visual effect of created layers needs to be readable and easily interpreted by a navigator. In this paper, we analyse and assess the results obtained after using several interpolation methods for DTM building. The experiments used real inland data from bathymetric surveys conducted on the waters of Szczecin area. The main novelty of the research is the use of generally known interpolation algorithms during processing of bathymetric big data, which are the primary layer in new mobile system for inland navigation. The created depth contours are the base of navigational analysis provided by the mobile inland navigation system MOBINAV. [ABSTRACT FROM AUTHOR]