2024
DOI: 10.3390/w16101365
|View full text |Cite
|
Sign up to set email alerts
|

Remote Measurement of Tide and Surge Using a Deep Learning System with Surveillance Camera Images

Gaetano Sabato,
Giovanni Scardino,
Alok Kushabaha
et al.

Abstract: The latest progress in deep learning approaches has garnered significant attention across a variety of research fields. These techniques have revolutionized the way marine parameters are measured, enabling automated and remote data collection. This work centers on employing a deep learning model for the automated evaluation of tide and surge, aiming to deliver accurate results through the analysis of surveillance camera images. A mode of deep learning based on the Inception v3 structure was applied to predict … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 89 publications
(88 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?