DocumentCode :
3319072
Title :
Algorithm research of building materials emissivity extracting
Author :
Yang Hang ; Hang, Yang ; Fang Junyong ; Zhang Xia ; Tong Qingxi
Author_Institution :
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
3350
Lastpage :
3353
Abstract :
We all know that several methods were proposed to retrieve temperature and emissivity, among which the TES and ISSTES are better than the other methods. We use 40 man-made materials spectra from ASTER spectral library, and assess the stability and accuracy of these methods to MMD, MMR, εmax input, and band number, respectively. The results show that the accuracy of TES method is connected with εmin input, while ISSTES has nothing to do with εmin; Using piecewise function to simulate the MMR or MMD relationship can improve the accuracy; Band number is an important factor for RMSE on temperature and emissivity, and 16-bands may be enough for ISSTES algorithm.
Keywords :
building materials; emissivity; iterative methods; mean square error methods; radiometers; smoothing methods; ASTER spectral library; ISSTES algorithm; MMD relationship; MMR relationship; RMSE; building materials emissivity extracting; emissivity separation; iterative spectral smooth temperature; man-made materials spectra; piecewise function; temperature retrieval; temperature separation; Accuracy; Atmospheric modeling; Land surface temperature; Remote sensing; Sensitivity; Temperature measurement; Temperature sensors; ISSTES; TES; building materials; emissivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650637
Filename :
5650637
Link To Document :
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