Hyperspectral remote sensing to be added to ISS lab | Imaging and Machine Vision Europe

2022-08-12 23:17:28 By : Mr. Longtime LT

Share this on social media:

Wildfires in the Amazon rainforest. Credit: lavizzara/shutterstock.com

Computer vision firm Metaspectral, along with remote sensing data analysis firm, HySpeed, are to design a hyperspectral imaging Earth observation payload for the International Space Station.

The system, 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.

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

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.

The system will use data compression and machine learning to overcome some of the bandwidth constraints when downlinking hyperspectral image data to Earth for analysis. Francis Doumet, Metaspectral co-founder and CEO, said the ‘project will demonstrate our platform’s ability to produce actionable insights [from the data] within 15 minutes or less’.

Doumet added: ‘Great strides have been made with optical inter-satellite 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.’

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

‘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 analyse 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.

Mathias Bochow, GFZ Helmholtz Centre, Potsdam, is working on the Trace project to track marine plastic. Credit: Frank Schweikert, Aldebaran Marine Research & Broadcast (www.aldebaran.org/en/)

Mathias Bochow, GFZ Helmholtz Centre, Potsdam, is working on the Trace project to track marine plastic. Credit: Frank Schweikert, Aldebaran Marine Research & Broadcast (www.aldebaran.org/en/)

Image: Martial Red/shutterstock.com

Mathias Bochow, GFZ Helmholtz Centre, Potsdam, is working on the Trace project to track marine plastic. Credit: Frank Schweikert, Aldebaran Marine Research & Broadcast (www.aldebaran.org/en/)

Seaweed is grown on ropes, the moorings and position of which can be tracked by a vision system. Credit: PEBL

Credit: REDPIXEL.PL/shutterstock.com

Vision start-ups are proliferating, thanks to AI and embedded computing. But what makes young companies successful? Abigail Williams reports

With no end to the semiconductor shortage in sight, the industrial vision industry has had to adapt to a new normal, finds Benjamin Skuse

Kowa’s compact lens series. Credit: Kowa

What new technology can vision users and integrators expect over the coming year? We round up some of the highlights

Donato Montanari, Zebra Technologies’ vice president and general manager for machine vision

Zebra Technologies has made sizable purchases in machine vision over the last year. Donato Montanari reveals why the firm places so much value on vision

Werner Feith, EMVA standards manager

The EMVA has written a set of policies for machine vision standards, designed to protect IP among other aspects. Werner Feith, explains the changes

Covision Lab has ambitions to be the leading computer vision machine learning hub in Europe for industry. Greg Blackman spoke to its CEO, Franz Tschimben

Image: Thitichaya Yajampa/shutterstock.com

Mark Hebbel, head of consultancy at Chainstep, on the importance of cybersecurity in vision sensors now that factories are more connected