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Abstract(s)
The exploration and use of the oceans have led to an increase in the number of
objects and equipment left behind on the seafloor, including abandoned fishing nets,
known as "ghost nets," and other lost items. These marine debris pose significant environmental
threats, affecting underwater ecosystems, navigation, and even human
life. Ghost Nets, in particular, continue to trap and kill marine life indiscriminately,
contributing to the degradation of marine habitats and a decrease in biodiversity.
Moreover, they can also hinder underwater exploration efforts by entangling and
damaging submersible drones.
This thesis investigates methods and technologies for detecting and identifying
abandoned fishing nets and other lost objects on the seafloor. The study evaluates
different sonar systems and other underwater detection methods, as well as image
processing techniques, particularly in their application to unmanned underwater
vehicles (AUVs) and unmanned surface vehicles (USVs). By combining multiple
systems and sensors, the aim is to improve detection accuracy and object identification.
Laboratory and real-world tests in open sea environments were conducted to
validate the effectiveness of the proposed solutions. The research also explores the
challenges associated with sonar detection in shallow waters, including issues related
to the acoustic Backscatter from the seafloor and the limitations of current sonar
technologies in accurately identifying mid-water targets.
Through this investigation, the thesis aims to contribute to developing advanced
technological solutions that can be used in ocean cleanup operations and preserving
marine ecosystems, promoting the sustainability of marine resources for future
generations.
Description
Keywords
Marine debris Seafloor mapping Ghost nets Sonar detection Underwater imaging AUVs (Autonomous Underwater Vehicles) USVs (Unmanned Surface Vehicles) Image processing Environmental impact Sustainability Marine ecosystems Submersible drones Acoustic backscatter Shallow water detection Marine habitat preservation