On the Potential of Bayesian Neural Networks for Estimating Chlorophyll-a Concentration from Satellite Data
This work introduces the use of Bayesian Neural Networks (BNNs) for inferring chlorophyll-a concentration ([CHL-a]) from remotely sensed data. BNNs are probabilistic models that associate a probability distribution to the neural network parameters and rely on Bayes’ rule for training. The performanc...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-05-01
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| Rangatū: | Remote Sensing |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2072-4292/17/11/1826 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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