Wave Height Estimation From X-Band Nautical Radar Images Using Temporal Convolutional Network
In this article, a temporal convolutional network (TCN)-based model is proposed to retrieve significant wave height (<inline-formula><tex-math notation="LaTeX">$H_s$</tex-math></inline-formula>) from X-band nautical radar images. Three types of features are first ex...
Enregistré dans:
| Auteurs principaux: | Weimin Huang, Zhiding Yang, Xinwei Chen |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/fab7438fd7534d46837baaaa5507f28a |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Dual Output and High Voltage Gain DC-DC Converter for PV and Fuel Cell Generators Connected to DC Bipolar Microgrids
par: V. Fernao Pires, et autres
Publié: (2021) -
A Fault-Tolerant Control Approach Based on Image Processing Applied to Three-Tank System
par: Ali Abdo, et autres
Publié: (2021) -
Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach
par: Madhav Mishra, et autres
Publié: (2021) -
Ambiguities Suppression for Azimuth Multichannel SAR Based on <inline-formula><tex-math notation="LaTeX">${L_{2,q}}$</tex-math></inline-formula> Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode
par: Mingqian Liu, et autres
Publié: (2021) -
Efficient <italic>(k, α)</italic>-Maximal-Cliques Enumeration Over Uncertain Graphs
par: Jing Bai, et autres
Publié: (2021)