Publication
Acoustic characterization and detection of lost fishing gear
| datacite.subject.fos | Engenharia e Tecnologia | pt_PT |
| dc.contributor.advisor | Silva, Eduardo Alexandre Pereira da | |
| dc.contributor.author | Oliveira, Rui Filipe Martins de | |
| dc.date.accessioned | 2024-12-13T14:58:39Z | |
| dc.date.available | 2024-12-13T14:58:39Z | |
| dc.date.issued | 2024-10-28 | |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203734122 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/26844 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Marine debris | pt_PT |
| dc.subject | Seafloor mapping | pt_PT |
| dc.subject | Ghost nets | pt_PT |
| dc.subject | Sonar detection | pt_PT |
| dc.subject | Underwater imaging | pt_PT |
| dc.subject | AUVs (Autonomous Underwater Vehicles) | pt_PT |
| dc.subject | USVs (Unmanned Surface Vehicles) | pt_PT |
| dc.subject | Image processing | pt_PT |
| dc.subject | Environmental impact | pt_PT |
| dc.subject | Sustainability | pt_PT |
| dc.subject | Marine ecosystems | pt_PT |
| dc.subject | Submersible drones | pt_PT |
| dc.subject | Acoustic backscatter | pt_PT |
| dc.subject | Shallow water detection | pt_PT |
| dc.subject | Marine habitat preservation | pt_PT |
| dc.title | Acoustic characterization and detection of lost fishing gear | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Engenharia Eletrotécnica e de Computadores | pt_PT |