Unsupervised Image Super-Resolution for Root Hair Enhancement and Improved Root Traits Measurements-Reference-Cited by-同舟云学术

Unsupervised Image Super-Resolution for Root Hair Enhancement and Improved Root Traits Measurements

Published:2024-03 Issue:1 Volume:2 Page:81-90
ISSN:2771-9529
Container-title:IEEE Transactions on AgriFood Electronics
language:
Short-container-title:IEEE Trans. Agri. Elect.

Author:

Mishra Divya¹^ORCID,Chemweno Sharon²^ORCID,Hadar Ofer¹^ORCID,Ben-Tovim Ofer³^ORCID,Lazarovitch Naftali²^ORCID,Ephrath Jhonathan E.²^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Ben Gurion University of the Negev, Beersheba, Israel

2. French Associates Institute for Agriculture and Biotechnology of Drylands, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer, Israel

3. CrystalVision Integrated Solutions, Samar, Israel

Funder

Ministry of Agriculture and Rural Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9787768/10496223/10444922.pdf?arnumber=10444922

Reference50 articles.

1. Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution

2. Unsupervised Degradation Representation Learning for Blind Super-Resolution

3. Accelerating Neural Style-Transfer Using Contrastive Learning for Unsupervised Satellite Image Super-Resolution

4. Root System Architecture

5. Root Hair Development and Adaptation to Abiotic Stress

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1. A Novel Approach using Degradation Representation for Remote Sensing Image Super-resolution in Real-world Scenarios;2024 IEEE Space, Aerospace and Defence Conference (SPACE);2024-07-22

2. HyperSR: A Hypernetwork Based Framework for Image Super-Resolution;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30