Articolo in rivista, 2023, ENG, 10.3390/engproc2023051031
Donatella Guzzi , Massimo Baldi , Tiziano Bianchi , Fabrizia Buongiorno , Cinzia Lastri , Enrico Magli , Vanni Nardino , Lorenzo Palombi , Vito Romaniello , Tiziana Scopa , Mario Siciliani de Cumis , Malvina Silvestri , Diego Valsesia , Valentina Raimondi
Istituto di Fisica Applicata Nello Carrara (IFAC-CNR), 50019 Sesto Fiorentino, Italy Department of Electronics and Telecommunications (DET), Politecnico di Torino, 10129 Torino, Italy Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Nazionale Terremoti, 00143 Roma, Italy Agenzia Spaziale Italiana (ASI), 00133 Rome, Italy
The mid-infrared spectral (MIR) region is poorly exploited in Earth Observation (EO) applications despite its potential for impacting several application fields, from climatological studies to land management. Among these, high-temperature events (HTE) monitoring plays a key role. Here we discuss the expected impact on EO data and relevant scientific applications by presenting data simulations and relevant Signal-to-Noise Ratio (SNR) evaluation for an innovative, high spatial-resolution multispectral imager--based on Compressive Sensing approach and working in the MIR--studied in the frame of the ASI-funded "SISSI" project. The working principle, expected data output, and performances with impact on HTE detection and monitoring are presented.
Engineering proceedings (Basel) 51
compressive sensing; multispectral imager; mid infrared; Earth observation; high-temperature events
Guzzi Donatella, Raimondi Valentina, Palombi Lorenzo, Lastri Cinzia, Baldi Massimo, Nardino Vanni
ID: 490369
Year: 2023
Type: Articolo in rivista
Creation: 2023-12-20 11:44:24.000
Last update: 2024-01-12 10:27:25.000
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External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:490369
DOI: 10.3390/engproc2023051031