Restoration of Authentic Position of Unidentified Vessels in SAR Imagery: A Deep Learning Based Approach
Author:
Funder
Ministry of Ocean and Fisheries Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09661450.pdf?arnumber=9661450
Cited by 6 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. Effective Vessel Recognition in High Resolution SAR Images Using Quantitative and Qualitative Training Data Enhancement From Target Velocity Phase Refocusing;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Measurement of the Range Velocity of Vessels in SAR Images Using Automatic Estimation of the Azimuth Offset;The Journal of Korean Institute of Electromagnetic Engineering and Science;2023-12
3. Enhancement of Vessel Detection Performance in SAR Image Utilizing Phase Compensation Refocusing From Target Velocity;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
4. Geometric Enhancement of Small SAR Satellite Image in Ocean Using Ship AIS;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
5. Geometric Positioning Error Mitigation of SAR Image in Ocean Utilizing AIS Information;IEEE Geoscience and Remote Sensing Letters;2023
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