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Data compression as a service

Telemetry data is the most valuable asset provided by any spacecraft. Increasing the data amount sent from space to ground increases a mission’s value, but often this comes with increased costs. Compression of Space generated data provides great benefits to both the large ESA missions by increasing the mission science throughput and small missions (which typically have low bandwidth) by increasing the traditional low downlink rates of these missions. One solution to this problem is the POCKET+ lossless compression algorithm, which is currently being standardized by CCSDS.

Germany

21-D-S-OPS-02-d

VisionSpace Technologies
ONBOARD MULTI-FRAME SUPER RESOLUTION IMAGE

Cubesats have the potential to revolutionize Earth Observation by exploring different operating points in terms of spatial, temporal, and spectral resolution. However, physical limitations, mostly in terms of size, prevent them from obtaining high-quality images. OPS-SAT, while characterized by a small form factor, provides an impressive in terms of capabilities and flexibility hardware/software platform for executing demanding machine learning algorithms (inference stage).

Greece

21-D-S-OPS-02-g

OHB Hellas
NEU4SST - Neuromorphic Processing for Space Surveillance and Tracking

In this project the authors look at event-based sensing and processing for space situational awareness (SSA). Many advantages exist with the new paradigm of neuromorphic engineering, the authors investigate: If event-based optical data is suitable for the task and if processing with Spiking Neural Networks (SNN) provides advantages in terms of efficiency and efficacy. With the implementation of a novel heterogeneous LIF SNN, authors claim to surpass the state of the art in event-based SSA with a 15% increase in accuracy.

United Kingdom

EISI_I-2022-00363

UNIVERSITY OF STRATHCLYDE
Blockchain ecosystem for an autonomous consensus mechanism of federated satellite networks – Space DAO

In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information.

Germany

EISI_I-2022-00372

parametry.ai
Hybrid Edge-Cloud AI Accelerated Astrometric Reduction Pipeline for Agile Near-Real Time In-Situ Space Surveillance and Tracking

With the “democratisation of space”, and the proliferation of large non-geostationary orbit (NGO) constellations, the pace at which human-made objects are being deployed in orbit demands urgent action in defining and supporting a global Space Traffic Management (STM) plan. Promptly identifying, tracking, and cataloguing of resident space objects (RSOs), in particular after orbit insertion or break-up and fragmentation events, as the recent Russian anti-satellite weapon (ASAT) test put in evidence, is of critical importance to enable a safe and sustainable use of space.

Germany

EISI_I-2022-00365

Vyoma
LEO-GEO for Greenhouse Gases LEO-GEO4GHG

LEO-GEO4GHG studies the feasibility of new frontiers of Cloud Computing in Space and artificial intelligence (AI) combining multiple sources of data such as SATLANTIS GEI-SAT constellation and other external meteorological and atmospheric data with the final aim of providing near real time methane detection and quantification.

Spain

EISI_I-2022-00367

SATLANTIS MICROSATS SA
Dual-camera satellite with on-board AI-Based decision making capabilities

The main objective of this study is the evaluation of the merits of a dual-camera setup for the acquisition of both high spatial resolution images and high-resolution images of identified events of
interest, on-board, through AI methods. A mission analysis of the approach for a single-satellite, dual camera setup as well as for a two-satellite (leading-trailing), single camera setup was

Greece

EISI_I-2022-00382

OHB Hellas
Beyond the Mission Paradigm: Federated Reconfigurable Infrastructure via Edge Devices in Space (FRIENDS)

Early space missions consisted of bespoke components communicating with facilities on Earth. Today this model has been updated with off-the-shelf components and reusable launch systems that lower mission cost into low-earth orbit. Extending this model to develop a sustainable off-earth economy requires bringing the concept of reconfigurable computing agents to deep space.

Canada

EISI_I-2022-00378

Mission Control Space...
PERTEO: Persistent Real-Time Earth Observation for Responsive Disaster Management

Persistent Responsive Real-Time Earth Observation small satellite constellation mission (PERTEO) is a study dedicated to provide a global democratic service to support disaster management. Earth observation and satellite-based communications play a key role to support disaster management targeting responsiveness and the persistence of the service. In the terminology of on-demand Copernicus services, responsiveness is determined by the lead-time and latency. The persistence is determined by the availability and by the revisit time of the service.

Spain

EISI_I-2022-00376

DEIMOS ENGINEERING AND...
Don't try this at home

"Don't try this at home" (named after one of the AI ships from I.Banks Culture series) is a concept demonstrating the benefits of having a Cognitive Cloud Computing infrastructure in Space. Such an infrastructure will provide users a comprehensive and scalable set of commercial services to EO sensors and space-based data providers. It enables several applications by efficiently collecting and fusing information on target objects from observations of different platforms at various wavelengths, resolutions, and times. As a result, it leads to timely, precise information.

Italy

EISI_I-2022-00366

Planetek Italia

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