Ship Velocity Estimation From Ship Wakes Detected Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Ship Velocity Estimation From Ship Wakes Detected Using Convolutional Neural Networks

Published:2019-11 Issue:11 Volume:12 Page:4379-4388
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Kang Ki-mook^ORCID,Kim Duk-jin^ORCID

Funder

Technology development for Practical Applications of Multi-Satellite

Ministry of Oceans and Fisheries

Disaster-Safety Industry Promotion Program

Ministry of Interior and Safety

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/8950468/08896951.pdf?arnumber=8896951

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Event-Triggered Adaptive Fixed-Time Trajectory Tracking Control for Stratospheric Airship;International Journal of Aeronautical and Space Sciences;2024-09-10

2. Ship-VNet: An Algorithm for Ship Velocity Analysis Based on Optical Remote Sensing Imagery Containing Kelvin Wakes;Electronics;2024-08-31

3. Estimation of Azimuth and Range Velocity of Detected Vessels from SAR Image using Doppler Frequency Characters;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Modeling and theoretical exploration of free surface manifestation of submarines in presence and absence of ocean waves;Ocean Engineering;2024-06

5. Instability of energy spectrum disturbance for ship turbulent wakes: SAR imaging simulation and analysis;Ocean Engineering;2024-01

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