Sea Debris: A Review of Marine Litter Detection Techniques
Author(s):
Rachana Raut, Rahul Bajaj, Nilima Kulkarni, Suyash Garg
DOI Number:
10.6084/m9.figshare.13650218
Keywords:
Marine Debris, Debris detection, Deep Learning, Image Processing, Trawling
Abstract
Debris produced by humans is usually released into the natural underwater environments such as rivers and oceans. Spotting marine debris in rivers and oceans is crucial to recognise and diminish its impact into the ecosystem. Present monitoring methods of manually determining the amount of debris present in the oceans is time consuming, labor intensive and limited in coverage. The aim of this study is to supervise and conserve aquatic and coastal ecosystems from pollution. This paper identifies various marine debris detection techniques such as image processing, deep learning, trawling which can prove as effective conuter measuring techniques. Analysis of debris using publicly available datasets being made by a few papers is also presented in this study. Various methods being discussed can be used for later analysis for the development and effective management of debris, thus conserving our ecosystem.
Article Details
Unique Paper ID: 150623

Publication Volume & Issue: Volume 7, Issue 8

Page(s): 119 - 125
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Volume 7 Issue 9

Last Date 25 February 2020

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