DocumentCode :
2198487
Title :
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
Link To Document :
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