Mesoscale Eddy Detection and Classification From Sea Surface Temperature Maps With Deep Neural Networks-Reference-Cited by-同舟云学术

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Mesoscale Eddy Detection and Classification From Sea Surface Temperature Maps With Deep Neural Networks

Published:2024 Issue: Volume:17 Page:10279-10290
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:

Safari Mohammad Mahdi¹^ORCID,Sharifi Alireza²^ORCID,Mahmoodi Javad³^ORCID,Abbasi-Moghadam Dariush⁴^ORCID

Affiliation:

1. Geoinformatics Engineering Department, Politecnico di Milano, Milano, Italy

2. Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran

3. Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran

4. Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran

Funder

Shahid Rajaee Teacher Training University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10534840.pdf?arnumber=10534840

Reference41 articles.

1. Impact of oceanic-scale interactions on the seasonal modulation of ocean dynamics by the atmosphere

2. Surface currents in operational oceanography: Key applications, mechanisms, and methods

3. Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

4. Hyperspectral Image Band Selection Based on CNN Embedded GA (CNNeGA)

5. Enhanced upward heat transport at deep submesoscale ocean fronts

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