Maximum entropy approach to temperature/emissivity separation

Author

Barducci, Alessandro ; Guzzi, Donatella ; Lastri, Cinzia ; Marcoionni, Paolo ; Nardino, Vanni ; Pippi, Ivan

Author_Institution

IFAC, Sesto Fiorentino, Italy

fYear

2012

fDate

22-27 July 2012

Firstpage

3094

Lastpage

3097

Abstract

Temperature and emissivity separation applied to multispectral Thermal Infrared (TIR) images provides relevant parameters for atmosphere and soil characterization Earth surface provides temperature and emissivity, relevant parameters for Earth observation studies. The retrieval of both temperature and emissivity is an ill-posed problem admitting infinite solutions, being the number of unknowns greater than available measurements. In this work the Maximum Entropy Temperature and Emissivity Separation (MaxEnTES) algorithm is presented, after summarizing the physical implications of the information theory.

Keywords

atmospheric radiation; atmospheric temperature; entropy; Earth observation studies; Earth surface; MaxEnTES algorithm; atmosphere characterization; information theory; maximum entropy approach; maximum entropy temperature-emissivity separation; multispectral thermal infrared images; soil characterization; Atmospheric measurements; Entropy; Random variables; Remote sensing; Temperature measurement; Temperature sensors; Wavelength measurement; TIR; Temperature; emissivity; maximum entropy; multispectral; thermal infrared;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6350771

Filename

6350771