RETRACTED ARTICLE: Research on North Gulf distributed big data submarine 3D terrain computing system based on remote sensing and multi-beam

North Gulf is China’s important sea route to Asia and Europe, and the seabed is rich in resources. For various reasons, the detection and mapping of submarine terrain are blank. The traditional multi-beam measurement method has high accuracy but uneven spatial distribution. Although the detection li...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2020-04, Vol.24 (8), p.5847-5857
Main Authors: Dong, Yuan, Hu, BaoQing, Zhang, ShiLun, Huang, YuanLin, Nong, GuoCai, Xin, Han
Format: Article
Language:English
Subjects:
Accuracy
Artificial Intelligence
Big Data
Computational Intelligence
Computer networks
Control
Data base management systems
Data processing
Distributed processing
Engineering
Focus
Geomorphology
Mapping
Mathematical Logic and Foundations
Measurement methods
Mechatronics
Ocean floor
Qualitative research
Remote sensing
Robotics
Software
Spatial distribution
Terrain
Topography
Visualization
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Summary:North Gulf is China’s important sea route to Asia and Europe, and the seabed is rich in resources. For various reasons, the detection and mapping of submarine terrain are blank. The traditional multi-beam measurement method has high accuracy but uneven spatial distribution. Although the detection line process has high sampling and measurement accuracy, there is a large blank area between adjacent routes, which is difficult to achieve full-scale large area measurement due to environmental, time and budget constraints. On the other hand, the accuracy of the remote sensing inversion depth method is not high, but it can achieve a wide range of coverage, which is characterized by low cost, short cycle and convenient dynamic monitoring. This paper takes North Gulf as the research area, uses remote sensing data to construct the seabed topography, uses multi-beam data for checksum correction and uses distributed computing technology to distribute big data in different computing nodes, and the data are refined and reconstructed in three dimensions to form a 3D seabed topography. The method improves the efficiency and accuracy of multi-beam data processing and can construct a large area, high-resolution submarine DEM and realize database management.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-019-04371-y