Articolo in rivista, 2023, ENG, 10.3390/engproc2023051032
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 , Christopher Pache , Lorenzo Palombi , Alice Maria Piccirillo , Giuseppe Pilato , Enrico Suetta , Dario Taddei , Diego Valsesia , Michael Wagner3 and Valentina Raimondi
LEONARDO S.p.A., 50013 Campi Bisenzio, Italy 'Nello Carrara' Institute of Applied Physics (IFAC), National Research Council (CNR), 50019 Sesto Fiorentino, Italy Fraunhofer Institute for Photonic Microsystems (IPMS), 01109 Dresden, Germany ACRI-ST, 06904 Sophia-Antipolis, France Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy 6 Centre Suisse d'Electronique et Microtechnique (CSEM), 2002 Neuchâtel, Switzerland 7 SAITEC srl, 50063 Figline Valdarno, Italy
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.
Engineering proceedings (Basel)
Gonnelli Andrea, Guzzi Donatella, Raimondi Valentina, Palombi Lorenzo, Lastri Cinzia, Baldi Massimo, Nardino Vanni, Marzi Emiliano
ID: 490371
Year: 2023
Type: Articolo in rivista
Creation: 2023-12-20 12:01:10.000
Last update: 2024-01-12 10:26:47.000
CNR institutes
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:490371
DOI: 10.3390/engproc2023051032