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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

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

Participantes na publicação
Giovanni Scardino (Author)
Giovanni Scicchitano (Author)
Marco Chirivì (Author)
Pedro J. M. Costa (Author)
IDL
Antonio Luparelli (Author)
Giuseppe Mastronuzzi (Author)

Data de Publicação
2022-06-22

Suporte
Remote Sensing

Identificadores da Publicação

Editora
MDPI AG

Volume
14
Fascículo
13

Página Inicial
2994

Identificadores do Documento
DOI - https://doi.org/10.3390/rs14132994
URL - http://dx.doi.org/10.3390/rs14132994


Exportar referência

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 }