DocumentCode :
1923964
Title :
Independent Component Analysis of the Gamma Ray Spectrometer data of SELENE (Kaguya)
Author :
Forni, O. ; Gasnault, O. ; Diez, B. ; d´Uston, C. ; Maurice, S. ; Hasebe, N. ; Okudaira, O. ; Yamashita, N. ; Kobayashi, S. ; Karouji, Y. ; Hareyama, M. ; Kobayashi, M. ; Reedy, R.C. ; Kim, K.J.
Author_Institution :
Centre d´´Etude Spatiale des Rayonnements, Univ. de Toulouse, Toulouse, France
fYear :
2009
fDate :
26-28 Aug. 2009
Firstpage :
1
Lastpage :
4
Abstract :
We analyze the spectra measured by the Gamma Ray Spectrometer (GRS) on board the SELENE satellite orbiting the Moon. The spectra consist in 8192 energy channels ranging from 0 to 12 MeV and exhibiting lines of interest (O, Mg, Al, Si, Ti, Ca, Fe, K, Th, and U) superposed on a continuum. We have also analysed the data with various multivariate techniques, one of them being the Independent Component Analysis. We have used the JADE algorithm for our analysis that we focused in the energy range from 750 to 3000 keV. We identify at least three meaningful components. The first one is correlated to the Thorium map. The corresponding correlation coefficient spectrum exhibits the lines of Thorium, Potassium and Uranium. The second component is clearly correlated with the Iron as shown on its corresponding spectrum. Finally the third component seems to be related to the altitude of the spacecraft. This work shows that maps of elements such as iron will be available with the GRS data by a purely statistical analysis.
Keywords :
gamma-ray spectra; independent component analysis; planetary remote sensing; JADE algorithm; Kaguya; SELENE satellite; Thorium map; correlation coefficient spectrum; electron volt energy 0 MeV to 12 MeV; electron volt energy 750 MeV to 3000 MeV; gamma ray spectrometer; independent component analysis; multivariate technique; spacecraft altitude; statistical analysis; Algorithm design and analysis; Data analysis; Extraterrestrial measurements; Independent component analysis; Iron; Moon; Satellites; Space vehicles; Spectroscopy; Statistical analysis; Gamma Ray Spectroscopy; Independent Component Analysis; SELENE;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4686-5
Electronic_ISBN :
978-1-4244-4687-2
Type :
conf
DOI :
10.1109/WHISPERS.2009.5289071
Filename :
5289071
Link To Document :
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