Probabilistic Wildfire Segmentation Using Supervised Deep Generative Model from Satellite Imagery

Probabilistic Wildfire Segmentation Using Supervised Deep Generative Model from Satellite Imagery

Wildfires are one of the major disasters among many and are responsible for more than 6 million acres burned in the United States alone every year. Accurate, insightful, and timely wildfire detection is needed to help authorities mitigate and prevent further destruction. Uncertainty quantification i...

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Bibliographic Details
Main Authors: Ata Akbari Asanjan, Milad Memarzadeh, Paul Aaron Lott, Eleanor Rieffel, Shon Grabbe
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
wildfire detection
generative machine-learning
stochastic modeling
remote sensing
segmentation
uncertainty analysis
Online Access:https://www.mdpi.com/2072-4292/15/11/2718

Internet

https://www.mdpi.com/2072-4292/15/11/2718

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