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Seabed sediment classification using multibeam backscatter data based on the selecting optimal random forest model

2020

Applied Acoustics

Ji, X., Yang, B. and Tang, Q.

Seabed sediment classification using acoustic remote sensing technique is an attractive approach due to its high coverage capabilities and limited costs compared to taking samples of...
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Keywords: FCNN, Feature selection, Multibeam echosounder, Random forest, Seabed sediment classification

Stage of Activity

Geophysical Exploration

Drilling

Construction

Production

Decommissioning

Export/Shipping

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Stage of Assessment

Stage 2: Sound emissions & propagation
Sound Measurements

Sound Modelling

Stage 3: Existing biological environment
Hearing Sensitivity

Stage 4: Potential impact assessment
Impact Study

Stage 5: Monitoring & Mitigation
Mitigation Measures

Other

Literature Review

Publication Type

Sound Source

Relevance to E&P Activities

Representative of real world source

Context relative to E&P activities

Parameters clearly measured and reported

Study Design

Relevance / context to E&P activity

Considers temporal / spatial variation

Receiver physiology/sensitivity

Receiver life stage/function

Control parameters clearly stated

Laboratory vs field

Modelling vs Real World

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Year of Issue

Pre 1985 Post 1985

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