Metaspectral, a company delivering the next generation of computer vision, and HySpeed Computing, a remote sensing data access and analysis company, have been selected to deploy an Earth Observation (EO) payload on the International Space Station (ISS).

The payload is known as Onboard Programmable Technology for Image Classification and Analysis (OPTICA) and will enable real-time compression, streaming, and analysis of hyperspectral data from Low Earth Orbit (LEO).

OPTICA is scheduled for launch in early 2023 on the SpaceX CRS-27 mission, with a six-month deployment on the ISS following soon thereafter. The mission is sponsored by the ISS National Laboratory, which works in collaboration with NASA to utilize the orbiting laboratory on the ISS to its fullest research and technology development potential.

Hyperspectral imagery captured by satellites contains data from across the electromagnetic spectrum which, when analyzed with artificial intelligence (AI), can be used to quickly identify events on the Earth such as forest fires, methane leaks, and oil spills. It can also provide crucial time-sensitive data to intelligence, surveillance, or reconnaissance missions.

“The quality and quantity of imagery captured in space have been continuously increasing yet the bandwidth available to downlink it to Earth for analysis has been doing so at a much slower rate. Our technology makes it possible to bypass bandwidth constraints with our advances in data compression and machine learning. This project will demonstrate our platform’s ability to produce actionable insights within 15 minutes or less,” said Francis Doumet, Metaspectral Co-Founder & CEO. “Great strides have been made with optical intersatellite links in increasing the reliability of satellite communications, and our technology complements this by bringing in advanced data compression and streaming for hyperspectral data from orbit.”

Metaspectral’s software is used in a variety of industries to identify materials, their chemical composition, and other invisible properties. Metaspectral will be providing the hardware and software for the payload, with HySpeed Computing being responsible for creating the necessary data processing pipeline and analysis tools.

“OPTICA represents the next evolution in space- and ground-based image processing,” said Dr. James Goodman, CEO of HySpeed Computing. “As the volume, variety, and velocity of Earth observation data continue to increase, developing efficiencies in data processing and information delivery will be paramount throughout the remote sensing industry. OPTICA addresses this need by demonstrating the ability to acquire rapidly, process, and analyze imagery from a high-data-volume hyperspectral sensor.”
Metaspectral and HySpeed Computing have selected Nanoracks, a commercial space services provider, to serve as the implementation partner for the project, providing infrastructure and operations support utilizing the Nanoracks External Platform (NREP) for payload hosting onboard the ISS.

About Metaspectral

Metaspectral delivers the next generation of computer vision software, capable of remotely identifying materials and determining their chemical composition, defects, and other properties otherwise invisible to conventional cameras. It achieves this by leveraging hyperspectral sensors and analyzing the data captured in real-time using artificial intelligence (AI) via its scalable, cloud-based platform. The software is already deployed in a range of industries including aerospace, defense, agriculture, manufacturing, and more.

Metaspectral is currently hiring deep learning engineers and scientists, remote sensing scientists, and full-stack engineers.

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About HySpeed Computing
HySpeed Computing is an award-winning independent small business with a proven track record in delivering innovative remote sensing solutions. Founded in science, our work focuses on applying sound fundamental principles of physics, image processing, spectral analysis, and data science. We develop applications, optimize data processing workflows, perform scientific research, analyze imagery, and much more. Our team is dedicated to evolving the science, business, and technology of applied remote sensing. See how we can put imagery to work for you.

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