Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring

Earth observation (EO) payload performances in the infrared spectral region from geostationary platforms are often limited by spatial resolution. In this paper, we investigate an instrumental concept leveraging a compressive sensing paradigm and super-resolution architecture to implement an EO paylo...

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Bibliographic Details
Published in:Engineering proceedings Vol. 51; no. 1; p. 32
Main Authors: Donato Borrelli, Massimo Baldi, Dirk Berndt, Lucas Bertoncini, Tiziano Bianchi, Lionel Bischof, Guzman Borque Gallego, Roberto Carlà, Peter Coppo, Chiara Corti, Francesco Corti, Marco Corti, Nick Cox, Ulrike A. Dauderstädt, Peter Dürr, Enrico Franci, Sara Francés González, Andrea Gonnelli, Irene Guerri, Donatella Guzzi, Stéphane Humbert, Demetrio Labate, Nicolas Lamquin, Cinzia Lastri, Enrico Magli, Emiliano Marzi, Andrea Migliorati, Vanni Nardino, Christophe Pache, Lorenzo Palombi, Alice Maria Piccirillo, Giuseppe Pilato, Enrico Suetta, Dario Taddei, Diego Valsesia, Michael Wagner, Valentina Raimondi
Format: Journal Article
Language:English
Published: MDPI AG 01-11-2023
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Summary:Earth observation (EO) payload performances in the infrared spectral region from geostationary platforms are often limited by spatial resolution. In this paper, we investigate an instrumental concept leveraging a compressive sensing paradigm and super-resolution architecture to implement an EO payload from a geostationary platform aimed at the monitoring of wildfires with a nominal spatial sampling distance of 500 m. The core device of the instrument is a European-technology-based micromirror array under study for space applications. Besides payload specifications and working principles, the main critical aspects and the expected impact on EO applications are discussed.
ISSN:2673-4591
DOI:10.3390/engproc2023051032