Data Simulations of a Compressive Sensing Multispectral Imager in the Mid-Infrared Region and Its Performances for the Monitoring of High-Temperature Events
oleh: 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
| Format: | Article |
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| Diterbitkan: | MDPI AG 2023-11-01 |
Deskripsi
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.