Abstract
Floating autonomous vehicles are very often equipped with modern systems that collect information about the situation under the water surface, e.g., the depth or type of bottom and obstructions on the seafloor. One such system is the multibeam echosounder (MBES), which collects very large sets of bathymetric data. The development and analysis of such large sets are laborious and expensive. Reduction of the spatial data obtained from bathymetric and other systems collecting spatial data is currently widely used. In commercial programs used in the development of data from hydrographic systems, methods of interpolation to a specific mesh size are very frequently used. The authors of this article previously proposed original the true bathymetric data reduction method (TBDRed) and Optimum Dataset (OptD) reduction methods, which maintain the actual position and depth for each of the measured points, without their interpolation. The effectiveness of the proposed methods has already been presented in previous articles. This article proposes the fusion of original reduction methods, which is a new and innovative approach to the problem of bathymetric data reduction. The article contains a description of the methods used and the methodology of developing bathymetric data. The proposed fusion of reduction methods allows the generation of numerical models that can be a safe, reliable source of information, and a basis for design. Numerical models can also be used in comparative navigation, during the creation of electronic navigation maps and other hydrographic products.
Highlights
At present, there are many different sensors that are employed to collect spatial data from water areas
Thissection section contains aa description description of the the original reduction reduction methods that were used during the. This sectioncontains contains a descriptionof of theoriginal original reductionmethods methods that that were were used used during during the the research: the true bathymetric data reduction method (TBDRed) research: true bathymetric datadata reduction method (TBDRed)
The two test areas were processed by the TBDRed and Optimum Dataset (OptD) methods
Summary
There are many different sensors that are employed to collect spatial data from water areas. New technological solutions focus on the use of autonomous hydrographic vehicles, which often have different sensors installed, including modern hydroacoustic sensors [1,2,3]. The use of such modern solutions allows the collection of a lot of information, such as that on the location, depth, and distance, at the same time [4,5]. There is a desire to combine observations obtained from different sources, increasing the quality and accuracy of the planned final product [6,7,8] Due to their mobility and dimensions, floating platforms can operate in shallow areas. The depth value is obtained by calculating the time difference between the moment of transmitting and receiving the Sensors 2020, 20, 6207; doi:10.3390/s20216207 www.mdpi.com/journal/sensors
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