Underwater Sediment Layers analysis using Convnet with Adam Optimiser and mapping its reflection coefficient parameter with the Particle Size

Underwater Sediment Layers analysis using Convnet with Adam Optimiser and mapping its reflection coefficient parameter with the Particle Size
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© 2021 by IJETT Journal
Volume-69 Issue-12
Year of Publication : 2021
Authors : Radhika Surampudi, Kumudham.R, Ebenezer Abishek.B, Rajendran.V
DOI :  10.14445/22315381/IJETT-V69I12P210

How to Cite?

Radhika Surampudi, Kumudham.R, Ebenezer Abishek.B, Rajendran.V, "Underwater Sediment Layers analysis using Convnet with Adam Optimiser and mapping its reflection coefficient parameter with the Particle Size," International Journal of Engineering Trends and Technology, vol. 69, no. 12, pp. 80-87, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I12P210

Abstract
Underwater sediment analysis is vital for cable and offshore installation, jet trenching, etc. Multiple pieces of research are performed for classifying the sea bed surface. Only fewer people focused on the classification of the sea bed sediment layers. Sub Bottom Profiler (SBP) equipment is utilized for imaging the seabed. SBP pings signal of low frequency and the signal is reflected back by the surface, while a portion of the signal penetrates through the surface and is reflected by the various layers of the sea bed. The sediment layers are classified using Convent with Adam Optimiser. The reflected signal contains information about the reflected object. The reflected coefficient is computed from classified sediment layers and is mapped to the density and particle size.

Keywords
Adam Optimiser, Classification, CNN, Convnet, Reflection, Sediment layer, Sub-bottom profiler.

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