Processing of Big Data for 3D Multibeam Sonar (Water) and LiDAR Point Cloud (Land) in Hydrography Field
Wioleta BŁASZCZAK-BĄK, Poland
This paper presents a new approach to the acquisition and simultaneous processing of two different datasets of measurements: (1) bathymetric observations, (2) laser scanning data. This integrated approach allows the processing of water and land areas. It is a new way of dealing with big datasets based on fragmentary data acquisition and fast reduction (performed by means of the Optimum Dataset method - OptD) within acquired measuring strips in almost real time. The modification of OptD method was used to simultaneously acquire and reduce the dataset from multibeam echosounders (MBES) and Light Detection and Ranging (LiDAR). All stages of the proposed approach are performed in a first phase of datasets acquisition, with the difference that during measurement not the whole dataset is processed, but a fragment of it. Data acquisition, data processing, reduction of the observations and 3D model generation in hydrography in almost real time is important research subject in context of comparative navigation and land and water management.
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