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Oceanic Mesoscale Eddy Detection Method Based on Deep Learning

by 1, 2,* and 2
1
College of computer science, National University of Defense Technology, Changsha 410073, China
2
College of Meteorology & Oceanography, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(16), 1921; https://doi.org/10.3390/rs11161921
Received: 29 July 2019 / Revised: 13 August 2019 / Accepted: 15 August 2019 / Published: 17 August 2019
(This article belongs to the Special Issue AI-based Remote Sensing Oceanography)
Oceanic mesoscale eddies greatly influence energy and matter transport and acoustic propagation. However, the traditional detection method for oceanic mesoscale eddies relies too much on the threshold value and has significant subjectivity. The existing machine learning methods are not mature or purposeful enough, as their train set lacks authority. In view of the above problems, this paper constructs a mesoscale eddy automatic identification and positioning network—OEDNet—based on an object detection network. Firstly, 2D image processing technology is used to enhance the data of a small number of accurate eddy samples annotated by marine experts to generate the train set. Then, the object detection model with a deep residual network, and a feature pyramid network as the main structure, is designed and optimized for small samples and complex regions in the mesoscale eddies of the ocean. Experimental results show that the model achieves better recognition compared to the traditional detection method and exhibits a good generalization ability in different sea areas. View Full-Text
Keywords: mesoscale eddy; satellite altimetry; eddy detection; data augmentation; feature pyramid network mesoscale eddy; satellite altimetry; eddy detection; data augmentation; feature pyramid network
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MDPI and ACS Style

Duo, Z.; Wang, W.; Wang, H. Oceanic Mesoscale Eddy Detection Method Based on Deep Learning. Remote Sens. 2019, 11, 1921. https://doi.org/10.3390/rs11161921

AMA Style

Duo Z, Wang W, Wang H. Oceanic Mesoscale Eddy Detection Method Based on Deep Learning. Remote Sensing. 2019; 11(16):1921. https://doi.org/10.3390/rs11161921

Chicago/Turabian Style

Duo, Zijun; Wang, Wenke; Wang, Huizan. 2019. "Oceanic Mesoscale Eddy Detection Method Based on Deep Learning" Remote Sens. 11, no. 16: 1921. https://doi.org/10.3390/rs11161921

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