DocumentCode :
1922497
Title :
An iterative least squares approach to decorrelate minerals and ices contributions in hyperspectral images: Application to Cuprite (earth) and Mars
Author :
Le Mouélic, S. ; Combe, J-Ph ; Sarago, V. ; Mangold, N. ; Massé, M. ; Bibring, J.-P. ; Gondet, B. ; Langevin, Y. ; Sotin, C.
Author_Institution :
Lab. de Planetologie et Geodynamique, Univ. de Nantes, Nantes, France
fYear :
2009
fDate :
26-28 Aug. 2009
Firstpage :
1
Lastpage :
4
Abstract :
We present an iterative linear spectral unmixing model (ILSUM) which is aimed at finding the main surface components that contribute to the signal in visible and infrared hyperspectral images. We processed the global dataset of the OMEGA imaging spectrometer onboard Mars Express up to orbit 5300, covering two martian years. We also present a preliminary test on AVIRIS data on the Cuprite (Nevada) site. We use ILSUM to identify the contribution of each endmember of an input library containing laboratory spectra of ices and mineral powders that are representative of the main mineral families. Synthetic spectra (pure slope endmembers) are included to account at first order for aerosol and grain size variations. Applied to the global OMEGA data set, this algorithm provides a distribution map for the main minerals present on the martian surface, which appears to be mainly dominated by pyroxenes, olivine, ferric oxides, with localized exposures of sulfates and phyllosilicates.
Keywords :
Mars; ice; image processing; infrared imaging; iterative methods; least squares approximations; minerals; planetary remote sensing; planetary surfaces; AVIRIS data; Cuprite; Mars Express; OMEGA imaging spectrometer; aerosol variation; decorrelation; ferric oxides; grain size variation; ice; infrared hyperspectral image; iterative least square approach; iterative linear spectral unmixing model; minerals; olivine; phyllosilicates; pyroxenes; sulfates; synthetic spectra; visible hyperspectral image; Decorrelation; Earth; Hyperspectral imaging; Ice; Infrared imaging; Infrared spectra; Iterative methods; Least squares methods; Mars; Minerals; Mars; OMEGA; composition; hyperspectral; minerals;
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.2009.5289003
Filename :
5289003
Link To Document :
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