This paper describes the activities related to a feasibility study for an Earth observation optical payload, operating in the medium infrared, based on super-resolution and compressive sensing techniques. The presented activities are running in the framework of the ASI project SISSI, aiming to improve ground spatial resolution and mitigate saturation/blooming effects. The core of the payload is a spatial light modulator (SLM): a bidimensional array of micromirrors electronically actuated. Thanks to compressive sensing approach, the proposed payload eliminates the compression board, saving mass, memory and energy consumption.
SISSI Project: A Feasibility Study for a Super Resolved Compressive Sensing Multispectral Imager in the Medium Infrared / Lastri, Cinzia; Amato, Gabriele; Baldi, Massimo; Bianchi, Tiziano; Fabrizia Buongiorno, Maria; Corti, Chiara; Corti, Francesco; Corti, Marco; Franci, Enrico; Guzzi, Donatella; Magli, Enrico; Nardino, Vanni; Palombi, Lorenzo; Romaniello, Vito; Scopa, Tiziana; Siciliani De Cumis, Mario; Silvestri, Malvina; Valsesia, Diego; Raimondi, Valentina. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 8:(2021), pp. 1-5. (Intervento presentato al convegno AITA 2021 - International Workshop on Advanced Infrared Technology and Applications tenutosi a online nel 26–28 October 2021) [10.3390/engproc2021008028].
SISSI Project: A Feasibility Study for a Super Resolved Compressive Sensing Multispectral Imager in the Medium Infrared
Tiziano Bianchi;ENRICO MAGLI;DIEGO VALSESIA;
2021
Abstract
This paper describes the activities related to a feasibility study for an Earth observation optical payload, operating in the medium infrared, based on super-resolution and compressive sensing techniques. The presented activities are running in the framework of the ASI project SISSI, aiming to improve ground spatial resolution and mitigate saturation/blooming effects. The core of the payload is a spatial light modulator (SLM): a bidimensional array of micromirrors electronically actuated. Thanks to compressive sensing approach, the proposed payload eliminates the compression board, saving mass, memory and energy consumption.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2979624