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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Convolutional Neural Network and Optical Flow for the Assessment of Wave and Tide Parameters from Video Analysis (LEUCOTEA): An Innovative Tool for Coastal Monitoring

Participants in the publication
Giovanni Scardino (Author)
Giovanni Scicchitano (Author)
Marco Chirivì (Author)
Pedro J. M. Costa (Author)
IDL
Antonio Luparelli (Author)
Giuseppe Mastronuzzi (Author)

Date of Publication
2022-06-22

Where published
Remote Sensing

Publication Identifiers

Publisher
MDPI AG

Volume
14
Number
13

Starting page
2994

Document Identifiers
DOI - https://doi.org/10.3390/rs14132994
URL - http://dx.doi.org/10.3390/rs14132994


Export

APA
Giovanni Scardino, Giovanni Scicchitano, Marco Chirivì, Pedro J. M. Costa, Antonio Luparelli, Giuseppe Mastronuzzi, (2022). Convolutional Neural Network and Optical Flow for the Assessment of Wave and Tide Parameters from Video Analysis (LEUCOTEA): An Innovative Tool for Coastal Monitoring. Remote Sensing, 14,http://dx.doi.org/10.3390/rs14132994

IEEE
Giovanni Scardino, Giovanni Scicchitano, Marco Chirivì, Pedro J. M. Costa, Antonio Luparelli, Giuseppe Mastronuzzi, "Convolutional Neural Network and Optical Flow for the Assessment of Wave and Tide Parameters from Video Analysis (LEUCOTEA): An Innovative Tool for Coastal Monitoring" in Remote Sensing, vol. 14, 2022. 10.3390/rs14132994

BIBTEX
@article{57716, author = {Giovanni Scardino and Giovanni Scicchitano and Marco Chirivì and Pedro J. M. Costa and Antonio Luparelli and Giuseppe Mastronuzzi}, title = {Convolutional Neural Network and Optical Flow for the Assessment of Wave and Tide Parameters from Video Analysis (LEUCOTEA): An Innovative Tool for Coastal Monitoring}, journal = {Remote Sensing}, year = 2022, volume = 14 }