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
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