#CASDFData Fusion for Space Applications
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How might we take advantage of the latest in information analysis and data fusion to provide insight into space objects’ past, current, and predicted trajectories and understand spacecraft capabilities and operator intentions?”
Blue Eye Soft Corp (BES) is an IT and ITES company based in the upstate of South Carolina that focuses on Business Intelligence and Predictive Analytics using Artificial Intelligence and The Cloud. Our services include Cloud Integration, Business Intelligence & AI, Data Lake, Big Data Practices, and Mobile solutions. We offer the best in global solutions for predictive maintenance and privacy protection of data. Our R&D is focused on the fusion of diverse advanced data sources like 3D/4D images and sound.
Slingshot Aerospace leads the way in advanced analytics leveraging AI to draw actionable insights from a synthesis of satellite, aerial, ground observation and contextual data streams at an unprecedented scale and speed providing disaster response teams, first responders, warfighters and commercial entities with real time decision advantage. Slingshot’s pioneering AI platform, Clairvoyance, synthesizes public datasets and sensor observations (Terrestrial, Aerial, and Space-based EO/IR, SAR, RF) to predict the unexpected and empower its’ defense and commercial customers to better understand our world in real-time. This platform provides the ability to ingest, fuse, and rapidly train and exploit multi-source data across space, time, and spectrum.
U.S. Air Force and Space Community Discuss U.S. Air Force Changes and Their Impacts Colorado Springs, Colo – Feb 20, 2020 – The United States
Eight small businesses accepted to participate in the cohort sponsored by Microsoft Colorado Springs, CO, Dec. 09, 2019 (GLOBE NEWSWIRE) — The Catalyst Space Accelerator
The world is entering into a second space age, this time driven by economic opportunity as much as national or military interest. Concepts that seemed far-fetched a decade ago, like global internet from space, space tourism, and a permanent presence at the moon, now look like near-term realities. Each of these exciting opportunities, though, presents a special kind of challenge to those tasked with tracking objects in space. To achieve internet from space, constellations of thousands of satellites are needed – each constellation will be roughly the number of active satellites we are currently tracking – which will drive a need for increased capacity and automation of our space surveillance network. An increased human presence in space will drive an elevated sense of urgency around the need to track space objects well. Finally, the interest by many nations and commercial entities to go to the moon and beyond means that we need to be able to track more objects, further away, on more complicated trajectories than anything we have to consider today. Government, commercial, and academic sensor networks have emerged in a variety of phenomenologies to track space objects — radar, optical, infrared, and passive RF networks on the ground are complemented by a small but growing number of on-orbit sensors. There is enormous potential to harness this nascent big data to detect, track, identify, and characterize satellites.
The Catalyst Accelerator is seeking small businesses and startups with commercially viable data analytics to address the Air Force’s and Department of Defense’s needs in space situational awareness. We are seeking approaches to analyze or fuse existing data containing space object positions and signal levels (in the optical, radar, RF, IR, or other) as a function of time, along with any other freely available data or metadata (e.g., weather, astronomical data, published satellite data). The data analytics would provide relevant space object characteristics such as, but not limited to: assured object identification, object taxonomy, pattern of life behavior analysis, identification and prediction of collaborative behaviors, and detection of changes in activity, behavior, health, etc. Techniques should be prepared to address data sets that are sparse, irregular, and of disparate phenomenologies, representing objects in any earth-centric or cis-lunar orbit. Because of the disparate nature of potential SSA data sources, we are also seeking validation and trust techniques capable of identifying bad data, faulty sensors, mistagged objects, other outliers, and techniques to assess datasets and make recommendations for further collection.
January 7, 2020
The Data Fusion cohort kicked off with eight fantastic companies from around the globe.
January 10, 2020
Unified Data Library
Unified Data Library (UDL) Training from Bluestaq allowed the Data Fusion companies to learn how and where to obtain data for their analytics tools.
February 20, 2020
Community Day gave the Catalyst Accelerator a chance to learn about Air Force Changes and Their Impacts. Panels were held regarding Why United States Space Force and USSPACECOM, Changes in Innovation and Acquisition, and Community Impacts.
October 22, 2020
#CASDF Demo Day
The final event where our eight Data Fusion companies pitch their technology to a virtual room full of customers, decision makers, and stake holders.