The Horizon Audiofiles - Ep 042 - Enhancing Battlefield Observation With Imitation Learning

The evolution of battlefield surveillance, from traditional elevated vantage points to advanced satellite remote sensing, has transformed geospatial data into actionable insights. The research focuses on creating a Digital Twin of a battlefield using a range of data sources. A methodology for assessing terrain features, such as visibility, slope, and soil moisture, is developed, along with a model for vegetation cover using Sentinel-2 data. Imitation Learning is employed to simulate military strategies based on human decision-making processes, generating synthetic data that represent real-world conditions.

 

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