Summary
While Earth Observation (EO) data has become ever more vital to understanding the planet and addressing societal challenges, applications are still limited by revisit time and spatial resolution. Though low Earth orbit missions can achieve resolutions better than 100 m, their revisit time typically stands at several days, limiting capacity to monitor dynamic events. Geostationary (GEO) missions instead typically provide data on an hour-basis but with spatial resolution limited to 1 km, which is insufficient to understand local phenomena.
SURPRISE’s main objective is to implement a demonstrator of a super-spectral EO payload - working in the visible, near- and mid-infrared and conceived to operate from GEO platform - with enhanced capability in spatial resolution, onboard data processing and encryption functionalities.
SURPRISE develops two disruptive technologies: Compressive Sensing (CS) and Spatial Light Modulator (SLM). CS optimises data acquisition (e.g. reduced storage and transmission bandwidth requirements) and enables novel onboard processing and encryption functionalities. SLM here implements the CS paradigm and achieves a super-resolution architecture. SLM technology, at the core of the CS architecture, is addressed by: reworking and testing off-the-shelf parts in relevant environment; developing roadmap for a European SLM, micromirror array-type, with electronics suitable for space qualification.
By introducing for the first time the concept of a payload with medium spatial resolution (few hundreds of meters) and near continuous revisit (hourly), SURPRISE can lead to a EO major breakthrough and complement existing operational services. CS will address the challenge of large data collection, whilst onboard processing will improve timeliness, shortening time needed to extract information from images and possibly generate alarms. Impact is relevant to industrial competitiveness, with potential for market penetration of the demonstrator and its components.
SURPRISE’s main objective is to implement a demonstrator of a super-spectral EO payload - working in the visible, near- and mid-infrared and conceived to operate from GEO platform - with enhanced capability in spatial resolution, onboard data processing and encryption functionalities.
SURPRISE develops two disruptive technologies: Compressive Sensing (CS) and Spatial Light Modulator (SLM). CS optimises data acquisition (e.g. reduced storage and transmission bandwidth requirements) and enables novel onboard processing and encryption functionalities. SLM here implements the CS paradigm and achieves a super-resolution architecture. SLM technology, at the core of the CS architecture, is addressed by: reworking and testing off-the-shelf parts in relevant environment; developing roadmap for a European SLM, micromirror array-type, with electronics suitable for space qualification.
By introducing for the first time the concept of a payload with medium spatial resolution (few hundreds of meters) and near continuous revisit (hourly), SURPRISE can lead to a EO major breakthrough and complement existing operational services. CS will address the challenge of large data collection, whilst onboard processing will improve timeliness, shortening time needed to extract information from images and possibly generate alarms. Impact is relevant to industrial competitiveness, with potential for market penetration of the demonstrator and its components.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/870390 |
| Start date: | 01-01-2020 |
| End date: | 30-06-2023 |
| Total budget - Public funding: | 2 988 795,00 Euro - 2 988 795,00 Euro |
Cordis data
Original description
While Earth Observation (EO) data has become ever more vital to understanding the planet and addressing societal challenges, applications are still limited by revisit time and spatial resolution. Though low Earth orbit missions can achieve resolutions better than 100 m, their revisit time typically stands at several days, limiting capacity to monitor dynamic events. Geostationary (GEO) missions instead typically provide data on an hour-basis but with spatial resolution limited to 1 km, which is insufficient to understand local phenomena.SURPRISE’s main objective is to implement a demonstrator of a super-spectral EO payload - working in the visible, near- and mid-infrared and conceived to operate from GEO platform - with enhanced capability in spatial resolution, onboard data processing and encryption functionalities.
SURPRISE develops two disruptive technologies: Compressive Sensing (CS) and Spatial Light Modulator (SLM). CS optimises data acquisition (e.g. reduced storage and transmission bandwidth requirements) and enables novel onboard processing and encryption functionalities. SLM here implements the CS paradigm and achieves a super-resolution architecture. SLM technology, at the core of the CS architecture, is addressed by: reworking and testing off-the-shelf parts in relevant environment; developing roadmap for a European SLM, micromirror array-type, with electronics suitable for space qualification.
By introducing for the first time the concept of a payload with medium spatial resolution (few hundreds of meters) and near continuous revisit (hourly), SURPRISE can lead to a EO major breakthrough and complement existing operational services. CS will address the challenge of large data collection, whilst onboard processing will improve timeliness, shortening time needed to extract information from images and possibly generate alarms. Impact is relevant to industrial competitiveness, with potential for market penetration of the demonstrator and its components.
Status
CLOSEDCall topic
LC-SPACE-14-TEC-2018-2019Update Date
27-10-2022
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H2020-EU.2.1.6.1. Enabling European competitiveness, non-dependence and innovation of the European space sector
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Organisations
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| CONSIGLIO NAZIONALE DELLE RICERCHE (CNR) (Coördinator)
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| ACRI ST SAS
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| Centre Suisse d'Electronique et de Microtechnique SA
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| LEONARDO - SOCIETA PER AZIONI (WASS)
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| Politecnico di Torino
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| RESOLVO SRL
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| SAITEC-SOCIETA A RESPONSABILITA LIMITATA