Signals and Images in Sea Technologies

Life below water is the 14th Sustainable Development Goal (SDG) envisaged by the United Nations and is aimed at conserving and sustainably using the oceans, seas, and marine resources for sustainable development. It is not difficult to argue that signals and image technologies may play an essential...

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Bibliographic Details
Other Authors: Moroni, Davide (Editor), Salvetti, Ovidio (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a Life below water is the 14th Sustainable Development Goal (SDG) envisaged by the United Nations and is aimed at conserving and sustainably using the oceans, seas, and marine resources for sustainable development. It is not difficult to argue that signals and image technologies may play an essential role in achieving the foreseen targets linked to SDG 14. Besides increasing the general knowledge of ocean health by means of data analysis, methodologies based on signal and image processing can be helpful in environmental monitoring, in protecting and restoring ecosystems, in finding new sensor technologies for green routing and eco-friendly ships, in providing tools for implementing best practices for sustainable fishing, as well as in defining frameworks and intelligent systems for enforcing sea law and making the sea a safer and more secure place. Imaging is also a key element for the exploration of the underwater world for various scopes, ranging from the predictive maintenance of sub-sea pipelines and other infrastructure projects, to the discovery, documentation, and protection of sunken cultural heritage. The scope of this Special Issue encompasses investigations into techniques and ICT approaches and, in particular, the study and application of signal- and image-based methods and, in turn, exploration of the advantages of their application in the previously mentioned areas. 
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653 |a weak target detection 
653 |a robust Capon beamforming 
653 |a large DOA mismatch 
653 |a two-step steering vector estimation 
653 |a free surface recording 
653 |a waves 
653 |a bubbles 
653 |a PIV 
653 |a wave flume experiments 
653 |a Voronoi partition 
653 |a mobile sensor networks 
653 |a wireless sensor networks 
653 |a environmental monitoring 
653 |a marine environment 
653 |a oil spills 
653 |a ship 
653 |a navigation systems 
653 |a dynamic positioning 
653 |a signal filtering 
653 |a signal processing 
653 |a time-frequency representation 
653 |a Kalman filter 
653 |a estimation 
653 |a directional wave spectra 
653 |a distributed jamming technology 
653 |a layout strategy 
653 |a underwater acoustic sensor networks 
653 |a Cramér-Rao bound 
653 |a underwater image enhancement 
653 |a Multi-Scale Retinex 
653 |a parameter optimization 
653 |a no reference image quality assessment 
653 |a n/a 
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