Self-attention and generative adversarial networks for algae monitoring

Self-attention and generative adversarial networks for algae monitoring

Water is important for the natural environment and human health. Monitoring algae concentrations yield information on the water quality. Compared with in situ measurements of water quality parameters, which are often complex and expensive, remote sensing techniques, using hyperspectral data analysis...

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Bibliographic Details
Main Authors: Nhut Hai Huynh, Gordon Böer, Hauke Schramm
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:European Journal of Remote Sensing
Subjects:
deep learning
self-attention
generative adversarial networks
pca
hyperspectral data augmentation
remote sensing
Online Access:http://dx.doi.org/10.1080/22797254.2021.2010605

Internet

http://dx.doi.org/10.1080/22797254.2021.2010605

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