Customer Stories / Aerospace
2020
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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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United States
Capella Space on AWS
Since 2020, Capella has been leveraging Amazon Web Services (AWS) to automate and scale its operations, including satellite command and control. By building on AWS, Capella reliably delivers data to customers and helps them quickly analyze and extract value from the data.
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United States
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. -
United States
Capella Space Reinvents Earth Observation with AWS Ground Station
Capella Space combines Synthetic Aperture Radar (SAR) technologies and AWS Ground Station to innovate and improve earth observation by creating a rapid-response space, ground, and cloud infrastructure for near-real-time insight into a changing world.
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