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ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Ocean Observation

Volume 12 - 2025 | doi: 10.3389/fmars.2025.1631686

Multifrequency Backscatter Classification of Seabed Sediments Using MBES: An Integrated Approach with Ground-Truth Validation

Provisionally accepted
Moonsoo  LimMoonsoo Lim1Jeongwon  KangJeongwon Kang2*Sunhee  HwangSunhee Hwang1Eunho  JungEunho Jung3Byung-Cheol  KumByung-Cheol Kum2Jongsin  KimJongsin Kim1
  • 1Marine Research Corporation, Busan, Republic of Korea
  • 2Korea Institute of Ocean Science and Technology (KIOST), Busan, Republic of Korea
  • 3Korea Hydrographic and Oceanographic Agency, Busan, Republic of Korea

The final, formatted version of the article will be published soon.

Accurate seabed sediment classification is essential for mapping marine geological features, assessing benthic habitat, and planning coastal infrastructure. This study investigated the utility of multifrequency multibeam echosounder (MBES) backscatter data for improving seabed sediment classification compared to traditional single-frequency approaches. MBES data were acquired at three frequencies (170, 300, and 450 kHz), and post-processed to produce frequency-specific backscatter mosaics and a composite red-green-blue image. Classification was performed using unsupervised clustering methods, including K-means and isodata clustering, with input vectors composed of normalized backscatter intensities from the three frequencies. The integrated multifrequency approach successfully identified three distinct sediment classes, which were validated using grab samples analyzed for grain size, water content, total organic carbon, and slope. These classes exhibited strong correspondence with underlying geomorphological features and local hydrodynamic regimes, confirming the influence of topography and tidal currents on sediment distribution. Lower-frequency data (170 kHz) were more sensitive to subsurface variability, while higher-frequency data (450 kHz) captured surface texture differences more effectively. The combined use of all three frequencies improved classification performance, particularly in transitional sediment zones where single-frequency methods proved ambiguous. The methodology proved robust across varying water depths, sediment types, and complex seabed terrains, aligning with recent advances in MBES-based sediment mapping and supporting its general applicability for other dynamic coastal systems. These results demonstrate that the use of multifrequency MBES backscatter data enhances the resolution and reliability of sediment classification results, providing a robust framework for high-resolution seabed mapping in dynamic coastal environments.

Keywords: Multibeam echosounder, backscatter classification, Multifrequency acoustics, seabed sediments, K-Means clustering

Received: 20 May 2025; Accepted: 21 Jul 2025.

Copyright: © 2025 Lim, Kang, Hwang, Jung, Kum and Kim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jeongwon Kang, Korea Institute of Ocean Science and Technology (KIOST), Busan, Republic of Korea

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