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ADAPTIVE SAR SIGNAL COMPRESSION THROUGH ARTIFICIAL INTELLIGENCE - EXPRO+

ESA Open Invitation to Tender: 1-11419
Open Date: 07/07/2022 11:25 CEST
Closing Date: 08/09/2022 13:00 CEST

The objective of the activity will be to study data reduction impact from the usage of "local" optimum SAR data compression, adapting it to the type of scenario observed by the radar instrument. For "local" we refer to the characteristics in terms of backscattering and topographic heterogeneity of the scene observed. These characteristic lead to different dynamics and features of the received signal and therefore may be intercepted by Machine Learning trained algorithms, and will allow processing, tagging and selection directly on RAW data, thus selecting the best SAR data compression scheme depending on predefined application and frequency bandwidth. We expect this application to bring 10-30% overall science data reduction without impacting the data quality and entropy.

Directorate: Directorate of Tech, Eng. Quality
Estabilishment: ESTEC
ECOS Required: No
Classified: No
Price Range: 100-200 KEURO
Authorised Contact Person: Miguel Yagues Palazon
Initiating Service: TEC-SF
IP Measure: N/A
Prog. Reference: E/0600-06 - Discovery
Tender Type: Open Competition
Open To Tenderers From: AT+BE+CA+CH+CZ+DE+DK+EE+GR+ES+FI+FR+GB+HU+IE+IT+LT+LU+LV+NL+NO+PL+PT+RO+SE+SI
Technology Keywords: 26-OTHERS
Products Keywords: 2-P-Other

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