Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels

Satellite data allows us to solve a wide range of challenging tasks remotely, including monitoring changing environmental conditions, assessing resources, and evaluating hazards. Computer vision algorithms such as convolutional neural networks have proven to be powerful tools for handling huge visua...

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Bibliographic Details
Main Authors: Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin, Evgeny Burnaev
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
artificial neural networks
computer vision
data analysis
pseudo-labeling
remote sensing
Online Access:https://ieeexplore.ieee.org/document/10198463/

Internet

https://ieeexplore.ieee.org/document/10198463/

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