SEABED SEDIMENT CLASSIFICATION BASED ON MULTIBEAM BACKSCATTER DATA

LUO Weidong; GUO Jun

doi:10.16028/j.1009-2722.2017.08008

2017 Vol. 33, No. 8

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LUO Weidong, GUO Jun. SEABED SEDIMENT CLASSIFICATION BASED ON MULTIBEAM BACKSCATTER DATA[J]. Marine Geology Frontiers, 2017, 33(8): 57-62. doi: 10.16028/j.1009-2722.2017.08008

Citation:

LUO Weidong, GUO Jun. SEABED SEDIMENT CLASSIFICATION BASED ON MULTIBEAM BACKSCATTER DATA[J]. Marine Geology Frontiers, 2017, 33(8): 57-62. doi: 10.16028/j.1009-2722.2017.08008

SEABED SEDIMENT CLASSIFICATION BASED ON MULTIBEAM BACKSCATTER DATA

Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510760, China; Key Laboratory of Marine Resources, Ministry of Land and Resources, Guangzhou 510075, China

Received Date: 05 May 2017

Publish Date: 28 August 2017

Abstract

Abstract

This paper introduces a method for seabed sediment classification.At first, texture features are extracted by gray level co-occurrence matrix based on backscatter image of multibeam data, then seabed sediment classification is carried out with supporting vector machine(SVM) using the backscatter combined with backscatter image.The result of classification by this method is better than the traditional method based on point data according to our practice.It will certainly make the regional marine geological survey more efficient and reliable.
- backscatter /
- seabed classification /
- SVM /
- GLCM /
- texture features

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References

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