Temperature and emissivity separation from TASI data based on wavebands selection

Author

Yang, Hang ; Zhang, Lifu ; Liu, Li ; Qingxi Long

Author_Institution

State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Appl., Beijing, China

fYear

2011

fDate

24-29 July 2011

Firstpage

1850

Lastpage

1853

Abstract

The TASI instrument has 32 spectral band covering 8μm ~11.5μm. The main goal of this paper is to analyze the SNR of each band and the temperature accuracy based on wavebands selection. SNR is calculated by RLSD algorithm. The TES algorithm selects three empirical relationships (MMD, MMR, and VAR). The band of least SNR was removed one by one from residual bands, and the temperature errors were computed. The results show that temperature accuracy of TES using 17-20 wavebands is highest for MMR and VAR algorithm, but it is different from above case. So it is important to evaluate the quality of thermal images, and remove the high-noises wavebands for MMR and VAR relationship before TES.

Keywords

emissivity; geophysical image processing; geophysical techniques; RLSD algorithm; TASI data; TASI instrument; TES algorithm; emissivity spectrum separation; high-noises wavebands; residual bands; spectral band; temperature accuracy; temperature errors; thermal images; waveband selection; Hyperspectral imaging; Reactive power; Signal to noise ratio; Temperature measurement; Temperature sensors; RLSD; SNR; TASI; temperature and emissivity separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049483

Filename

6049483