A Data-Driven Approach to Classifying Wave Breaking in Infrared Imagery

We apply deep convolutional neural networks (CNNs) to estimate wave breaking type (e.g., non-breaking, spilling, plunging) from close-range monochrome infrared imagery of the surf zone. Image features are extracted using six popular CNN architectures developed for generic image feature extraction. L...

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Bibliographic Details
Main Authors: Daniel Buscombe, Roxanne J. Carini
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/7/859