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Vae Isprs by mehrdad khalilzadeh is a document available to read on EtoBox.
This study introduces a Conditional Variational Autoencoder (CVAE) to detect bark beetle outbreaks in European forests using Sentinel-2 satellite time-series data and static environmental features. The model operates in a semi-supervised manner, allowing it to effectively separate healthy and attacked forest areas without requiring extensive labeled data. Results demonstrate the model
- Author
- mehrdad khalilzadeh
- Language
- EN