Earth Observation (EO) systems are generating an ever-increasing amount of data to be handled on board yet with limited resources, which sometimes hinders a full exploitation of the information content. In this paper, we present a demonstrator of a super-resolved compressive imager operating in whiskbroom mode in the Visible-Near Infrared (VISNIR) and Medium Infrared (MIR) spectral ranges. The demonstrator, which is under development in the frame of the EU H2020 funded SURPRISE project, is based on the use of a Digital MicroMirror Device (DMD) as a core element of its architecture and it is inspired by a single-pixel camera in order to avoid the use of large focal plane arrays. The demonstrator has 10 channels in the VNIR and two channels in the MIR and it can reach a super-resolution factor from 4 x 4 to 32 x 32, that is the ratio between the number of pixels of the image reconstructed at the end of the process and the number of pixels of the detector. Besides, on the grounds of the results obtained by image reconstruction tests on simulated datasets by using Deep Learning based algorithms, data are expected to be natively compressed with a Compression Ratio up to 50%. The study is expected to provide valuable insight for the future development of a novel class of EO instruments with improved performances in terms of ground sampling distance, native compression and on-board processing capabilities. Additional presentation content can be accessed on the supplemental content page.
Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances / Raimondi, Valentina; Baldi, Massimo; Berndt, Dirk; Bianchi, Tiziano; Borque Gallego, Guzmán; Borrelli, Donato; Carlà, Roberto; Corti, Chiara; Corti, Francesco; Corti, Marco; Dauderstädt, Ulrike A.; Dürr, Peter; Gonnelli, Andrea; Francés González, Sara; Guzzi, Donatella; Labate, Demetrio; Lamquin, Nicolas; Lastri, Cinzia; Magli, Enrico; Marzi, Emiliano; Nardino, Vanni; Pache, Christophe; Palombi, Lorenzo; Pilato, Giuseppe; Suetta, Enrico; Valsesia, Diego; Wagner, Michael. - ELETTRONICO. - 12777:(2023), pp. 1-10. (Intervento presentato al convegno International Conference on Space Optics - ICSO 2022 tenutosi a Dubrovnik (Croatia) nel 3-7 October 2022) [10.1117/12.2690634].
Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances
Bianchi, Tiziano;Magli, Enrico;Valsesia, Diego;
2023
Abstract
Earth Observation (EO) systems are generating an ever-increasing amount of data to be handled on board yet with limited resources, which sometimes hinders a full exploitation of the information content. In this paper, we present a demonstrator of a super-resolved compressive imager operating in whiskbroom mode in the Visible-Near Infrared (VISNIR) and Medium Infrared (MIR) spectral ranges. The demonstrator, which is under development in the frame of the EU H2020 funded SURPRISE project, is based on the use of a Digital MicroMirror Device (DMD) as a core element of its architecture and it is inspired by a single-pixel camera in order to avoid the use of large focal plane arrays. The demonstrator has 10 channels in the VNIR and two channels in the MIR and it can reach a super-resolution factor from 4 x 4 to 32 x 32, that is the ratio between the number of pixels of the image reconstructed at the end of the process and the number of pixels of the detector. Besides, on the grounds of the results obtained by image reconstruction tests on simulated datasets by using Deep Learning based algorithms, data are expected to be natively compressed with a Compression Ratio up to 50%. The study is expected to provide valuable insight for the future development of a novel class of EO instruments with improved performances in terms of ground sampling distance, native compression and on-board processing capabilities. Additional presentation content can be accessed on the supplemental content page.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2987784