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.
2019
15th International Workshop on Advanced Infrared Technology and Applications (AITA 2019)
temperature-emissivity separation; maximum entropy; thermal infrared; multispectral images; earth observation
04 Pubblicazione in atti di convegno::04c Atto di convegno in rivista
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].
File allegati a questo prodotto
File Dimensione Formato  
Nardino_Experimental_2019.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.23 MB
Formato Adobe PDF
1.23 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1555781
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact