Simulation of Kelvin wakes in optical images of rough sea surface-Reference-Cited by-同舟云学术

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Simulation of Kelvin wakes in optical images of rough sea surface

Published:2019-08 Issue: Volume:89 Page:36-43
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Liu Yingfei^ORCID,Deng Ruru,Zhao Jun

Funder

Science and Technology Planning Project of Guangdong Province, China

Water Conservancy Science and Technology Innovation Project of Guangdong Province, China

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)

Publisher

Elsevier BV

Subject

Ocean Engineering

Reference24 articles.

1. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images;Cheng;IEEE Trans. Geosci. Remote Sens.,2016

2. Rotation-insensitive and context-augmented object detection in remote sensing images;Li;IEEE Trans. Geosci. Remote Sens.,2018

3. Ship wakes and their radar images;Reed;Annu. Rev. Fluid Mech.,2002

4. An interactive approach for calculating ship boundary layers and wakes for nonzero froude number;Tahara;J. Comput. Phys.,1992

5. A large-domain approach for calculating ship boundary layers and wakes and wave fields for nonzero froude number;Tahara;J. Comput. Phys.,1996

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1. Sea surface current estimation using optical satellite imagery of Kelvin wakes and AIS data;Remote Sensing of Environment;2024-12

2. Study of “whitewater zone” optical properties in ship wake;Ocean Engineering;2024-04

3. Kelvin wake detection from large-scale optical imagery using simulated data trained deep neural network;Ocean Engineering;2024-04

4. Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances;Remote Sensing;2024-03-25

5. Spectral analysis on the component characteristics of wake systems generated by the submerged body;Journal of Marine Science and Technology;2023-05-22

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