Convolutional neural network hyperparameter optimization applied to land cover classification

Convolutional neural network hyperparameter optimization applied to land cover classification

In recent times, machine learning algorithms have shown great performance in solving problems in different fields of study, including the analysis of remote sensing images, computer vision, natural language processing, medical issues, etc. A well-prepared input dataset can have a huge impact on the...

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Bibliographic Details
Main Authors: Vladyslav Yaloveha, Andrii Podorozhniak, Heorhii Kuchuk
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2022-02-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
hyperparameter optimization
eurosat
bohb
convolutional neural network
land cover
remote sensing
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/1656

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/1656

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