Research on classification method of seafloor sediment based on multibeam single array echo

Guoqing Liu; Min Liu; Yi Yang; Shaohua Jin

doi:10.1117/12.3057895

28 January 2025 Research on classification method of seafloor sediment based on multibeam single array echo

Guoqing Liu, Min Liu, Yi Yang, Shaohua Jin

Author Affiliations +

Proceedings Volume 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024); 135060V (2025) https://doi.org/10.1117/12.3057895
Event: Sixth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2024), 2024, Qingdao, China

Abstract

Multi-beam sonar data contains important information for determining the type of seabed sediment. The current research results on multi-beam data for sediment classification are mainly based on the echo intensity information that varies with the Angle. In this paper, based on the measured data of multi-beam sonar in Meizhou Bay, the feature extraction and substrate classification are studied by using multi-beam single-array wave echo waveform data. In the case of less measurement data of Marine data and greater environmental impact, feature extraction and classification of the same data are carried out from different angles. By comparing the results of each type of substrate and evaluating the final effect of different methods, it is conducive to fully obtaining the factors related to the type of substrate in the data and improving the classification accuracy.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guoqing Liu, Min Liu, Yi Yang, and Shaohua Jin "Research on classification method of seafloor sediment based on multibeam single array echo", Proc. SPIE 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), 135060V (28 January 2025); https://doi.org/10.1117/12.3057895

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