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Experimental Tests on TIR Multispectral Images for Temperature-Emissivity Separation by Using the MaxEnTES Algorithm

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
Satellite images in the TIR are relevant for several Earth Observation applications. The
retrieval of temperature and emissivity from the emitted radiance, however, requires the use of
suitable algorithms, such as the MaxEnTES that uses the concept of maximum entropy to solve the
Temperature-Emissivity Separation problem. Here we discuss the performance of MaxEnTES when
applied to TIR images with a limited number of channels, specifically simulated HyspIRI
multispectral images and real multispectral images by ASTER. The results were respectively
compared with the original temperatures used for the simulations and with the temperatures
obtained by using the ASTER TES algorithm
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
temperature-emissivity separation; maximum entropy; thermal infrared; multispectral images; earth observation
Elenco autori:
Amato, Gabriele; Guzzi, Donatella; Raimondi, Valentina; Lastri, Cinzia; Nardino, Vanni
Autori di Ateneo:
GUZZI DONATELLA
LASTRI CINZIA
NARDINO VANNI
RAIMONDI VALENTINA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/392696
Pubblicato in:
PROCEEDINGS (MDPI)
Journal
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