Upsampling of Unmanned Aerial Vehicle Images of Sugarcane Crop Lines with a REAL-ESRGAN-Reference-Cited by-同舟云学术

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Upsampling of Unmanned Aerial Vehicle Images of Sugarcane Crop Lines with a REAL-ESRGAN

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Nogueira Emília A.¹,Felix Juliana Paula¹,Fonseca Afonso Ueslei¹,Vieira Gabriel¹,Ferreira Julio Cesar²,Fernandes Deborah S. A.¹,Oliveira Bruna M.³,Soares Fabrizzio¹

Affiliation:

1. Federal University of Goias,Institute of Computing,Goiânia,GO,Brazil

2. Science and Technology of Goiás,Federal Institute of Education,GO,Brazil

3. Federal University of Goias,Agronomy School,Goiânia,GO,Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de Goiás

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10288628/10288648/10289109.pdf?arnumber=10289109

Reference25 articles.

1. An Improved YOLO Model for UAV Fuzzy Small Target Image Detection

2. Investigation of the effect of uav flight altitude in map production;demirel;Intercontinental Geoinformation Days,2022

3. Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

4. Skew Angle Detection and Correction in Text Images Using RGB Gradient

Cited by 1 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. Deep Learning for Super Resolution of Sugarcane Crop Line Imagery from Unmanned Aerial Vehicles;Advances in Visual Computing;2023

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