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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Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (130 p.) |
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100 | 1 | |a Moroni, Davide |4 edt | |
245 | 1 | 0 | |a Signals and Images in Sea Technologies |
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300 | |a 1 electronic resource (130 p.) | ||
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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. | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a passive sonar | ||
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 | ||
776 | |z 3-0365-1356-6 | ||
776 | |z 3-0365-1355-8 | ||
700 | 1 | |a Salvetti, Ovidio |4 edt | |
700 | 1 | |a Moroni, Davide |4 oth | |
700 | 1 | |a Salvetti, Ovidio |4 oth | |
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