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Capella Space Detects Global Events with Geospatial Imagery on Amazon SageMaker

In this video, Payam Banazadeh, CEO and founder, describes how Capella Space uses AWS solutions to collect, process, and make available petabytes of data in near real time, with low latency and low reactivity.

Using Amazon SageMaker, Capella Space is building complex machine learning (ML) models on Synthetic Aperture Radar (SAR) satellite imagery. By applying ML to SAR imagery, Capella can automatically detect global events in near real time without being hindered by weather or time of day.

AWS Services Used

Amazon SageMaker

Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.

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