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