Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049483
