Leveraging Deep Learning for the Reconstruction of Plant Hyperspectral Data from RGB Images-Reference-Cited by-同舟云学术

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Leveraging Deep Learning for the Reconstruction of Plant Hyperspectral Data from RGB Images

Published:2024-07-07 Issue: Volume:351 Page:8058-8063
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Sarkis Serge¹,Issa Ibrahim²,Jaoude Dany Abou¹,Talhouk Salma³

Affiliation:

1. American University of Beirut,Department of Mechanical Engineering,Beirut,Lebanon

2. American University of Beirut,Department of Electrical and Computer Engineering,Beirut,Lebanon

3. American University of Beirut,Department of Landscape and Ecosystem Management,Beirut,Lebanon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642133.pdf?arnumber=10642133

Reference24 articles.

1. Climate Change Impacts on Plant Pathogens and Plant Diseases

2. Tracking the health of trees over time on forest health monitoring plots;Steinman;UNITED STATES DEPARTMENT OF AGRICULTURE FOREST SERVICE GENERAL TECHNICAL REPORT NC,2000

3. Potential and limitation of visual indices of tree condition

4. Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics

5. Modelling vegetation health and stress using hypersepctral remote sensing data

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