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.
Experimental tests on TIR multispectral images for temperature-emissivity separation by using the MaxEnTES algorithm / Nardino, Vanni; Amato, Gabriele; Guzzi, Donatella; Lastri, Cinzia; Raimondi, Valentina. - In: PROCEEDINGS. - ISSN 2504-3900. - 27:1(2019). (Intervento presentato al convegno 15th International Workshop on Advanced Infrared Technology and Applications (AITA 2019) tenutosi a Florence, Italy) [10.3390/proceedings2019027010].
Experimental tests on TIR multispectral images for temperature-emissivity separation by using the MaxEnTES algorithm
Gabriele Amato;
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.File | Dimensione | Formato | |
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