Sub-bottom shallow stratum sediment classification in Guangzhou sea areas based on a robust estimated quality factor

doi:10.13474/j.cnki.11-2246.2025.1217

Abstract

Abstract: To address the issues of inaccuracy and low automation in traditional sub-bottom sediment classification methods based on the quality factor (Q-factor),this study utilizes variational mode decomposition (VMD)and correlation analysis to achieve accurate reconstruction of echo signals.By leveraging the prior characteristics of acoustic signals,an optimal frequency band is selected for computation,enabling robust estimation of the Q-factor.The study verifies the significance and accuracy of the Q-factor in distinguishing and characterizing different sediment types.Combined with unsupervised classification methods,it overcomes the limitations of traditional approaches in automation,achieving automatic classification of shallow sub-bottom sediments.

Key words: quality factor, variational mode decomposition, correlation analysis, sub-bottom sediment classification

CLC Number:

P229

MA Li, YE Ruiming, YANG Guang, ZHANG Chi, FENG Wenjiang. Sub-bottom shallow stratum sediment classification in Guangzhou sea areas based on a robust estimated quality factor[J]. Bulletin of Surveying and Mapping, 2025, 0(12): 98-102,157.

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