| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Engineering Proceedings, Vol 51, Iss 1, p 31 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2673-4591 |
| DOI: |
10.3390/engproc2023051031 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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