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Compositional units on Mercury from MESSENGER spectral observations: comparison of clustering techniques

D’Amore, M. and Helbert, Jörn and Maturilli, Alessandro and Marzo, G.A. and Roush, T.L. and Hogan, R.C. and Izenberg, N.R. and Sprague, A.L. and Holsclaw, G.M. and Head, J.W. and McClintock, W.E. and Solomon, S.C. (2010) Compositional units on Mercury from MESSENGER spectral observations: comparison of clustering techniques. AOGS 2010, 5-9 Jul 2010, Hyderabad International Convention Centre, India. (Unpublished)

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The Mercury Atmospheric and Surface Composition Spectrometer (MASCS) obtained spectra of much of the surface of Mercury during the first two MESSENGER flybys of the planet [1]. The dataset have not been corrected for any effect due to observing geometry, but only converted to reflectance [2]. The characterization of spectral units is performed by statistical techniques. In order to extract the spectral shapes of the primary surface components exposed in the surface area analyzed, we applied an R-mode factor analysis [3] [4]. That leads to the evaluation of the eigenvectors of the covariance matrix and their abundances along the track. The results indicates that the NIR spectral range is carrying less information than the VIS portion and that the eigenvectors are unchanged if the full wavelength range is selected rather than limiting observations to the VIS. The analysis shows that seven eigenvectors are needed to reconstruct the original data, where each eigenvector can be regarded as a representative of a spectral class that varies in abundance along the track. The first eigenvector always displays a strong positive or “red” slope, carrying the effects associated to the viewing geometry and all eigenvectors show distinctive spectral signatures. The eigenvector abundances show marked geographical variation and a strong correlation with surface units mapped by MESSENGER’s Mercury Dual Imaging System (MDIS). We apply a decorrelation technique (Mahalanobis transformation [5]) to remove dependence on observation angle in the retrieved eigenvector abundances and then used the corrected abundances to classify or cluster the measurements and to identify spectral units. We used three clustering techniques and then we compare the output from the algorithms. At the same time, we make use of newly available high-temperature spectra from our Planetary Emissivity Laboratory [6] to assist in the identification of the components of each unit. Application to data from the first flyby provides us with confidence in the ability of these techniques to extract physical properties of surface materials.

Item URL in elib:https://elib.dlr.de/68276/
Document Type:Conference or Workshop Item (Speech)
Title:Compositional units on Mercury from MESSENGER spectral observations: comparison of clustering techniques
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
D’Amore, M.Mario.Damore (at) dlr.de UNSPECIFIED
Helbert, JörnJoern.Helbert (at) dlr.de https://orcid.org/0000-0001-5346-9505
Maturilli, AlessandroAlessandro.Maturilli (at) dlr.de UNSPECIFIED
Marzo, G.A.Bay Area Environmental Research Institute, United StatesUNSPECIFIED
Roush, T.L.NASA Ames Research Center, United StatesUNSPECIFIED
Hogan, R.C.Bay Area Environmental Research Institute, United StatesUNSPECIFIED
Izenberg, N.R.JHU/APL, United StatesUNSPECIFIED
Sprague, A.L.Lunar and Planetary Laboratory, United StatesUNSPECIFIED
Holsclaw, G.M.Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO 80303, USAUNSPECIFIED
Head, J.W.Brown University, United StatesUNSPECIFIED
McClintock, W.E.University of Colorado, United StatesUNSPECIFIED
Solomon, S.C.Carnegie Institution of Washington, United StatesUNSPECIFIED
Date:July 2010
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:MESSENGER Mercury Clustering
Event Title:AOGS 2010
Event Location:Hyderabad International Convention Centre, India
Event Type:international Conference
Event Dates:5-9 Jul 2010
Organizer:Asia-Oceania Geosciences Society
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EW - Erforschung des Weltraums
DLR - Research area:Space
DLR - Program:W EW - Erforschung des Weltraums
DLR - Research theme (Project):W - Vorhaben Planetenforschung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Terahertz and Infrared Sensors
Deposited By: Amore, Dr. Mario
Deposited On:12 Jan 2011 10:23
Last Modified:01 Dec 2018 19:47

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