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    Spectral clustering tools applied to Ceres in preparation for OSIRIS-REx color imaging of asteroid (101955) Bennu

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    Name:
    Rizos_Icarus_2019_SpectralClus ...
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    Final Accepted Manuscript
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    Author
    Rizos, Juan Luis
    de León, Julia
    Licandro, Javier
    Campins, Humberto
    Popescu, Marcel
    Pinilla-Alonso, Noemí
    Golish, Dathon
    de Prá, Mario
    Lauretta, Dante
    Affiliation
    Univ Arizona, Lunar & Planetary Lab
    Issue Date
    2019-08
    Keywords
    Asteroid
    Clustering
    Ceres
    Dawn Mission
    (101955) Bennu
    OSIRIS-REx
    
    Metadata
    Show full item record
    Publisher
    ACADEMIC PRESS INC ELSEVIER SCIENCE
    Citation
    Rizos, J. L., de León, J., Licandro, J., Campins, H., Popescu, M., Pinilla-Alonso, N., ... & Lauretta, D. (2019). Spectral clustering tools applied to Ceres in preparation for OSIRIS-REx color imaging of asteroid (101955) Bennu. Icarus, 328, 69-81.
    Journal
    ICARUS
    Rights
    © 2019 Elsevier Inc. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The OSIRIS-REx asteroid sample-return mission is investigating primitive near-Earth asteroid (101955) Bennu. Thousands of images will be acquired by the MapCam instrument onboard the spacecraft, an imager with four color filters based on the Eight-Color Asteroid Survey (ECAS): b' (473 nm), v (550 nm), w (698 nm), and x (847 nm). This set of filters will allow identification and characterization of the absorption band centered at 700 nm and associated with hydrated silicates. In this work, we present and validate a spectral clustering methodology for application to the upcoming MapCam images of the surface of Bennu. Our procedure starts with the projection, calibration, and photometric correction of the images. In a second step, we apply a K-means algorithm and we use the Elbow criterion to identify natural clusters. This methodology allows us to find distinct areas with spectral similarities, which are characterized by parameters such as the spectral slope S' and the center and depth of the 700-nm absorption band, if present. We validate this methodology using images of (1) Ceres from NASA's Dawn mission. In particular, we analyze the Occator crater and Ahuna Mons. We identify one spectral cluster located in the outer parts of the Occator crater interior showing the 700-nm hydration band centered at 698 +/- 7 nm and with a depth of 3.4 +/- 1.0%. We interpret this finding in the context of the crater's near-surface geology.
    Note
    24 month embargo; published online: 23 March 2019
    ISSN
    00191035
    DOI
    10.1016/j.icarus.2019.03.007
    Version
    Final accepted manuscript
    Sponsors
    MINECO, Spain [AYA2015-67772-R]; Severo Ochoa Program (MINECO) [SEV-2015-0548]; Operational Programmes of the European Regional Development Fund and the European Social Fund of the Canary Islands (OP-ERDF-ESF) [ProID2017010112]; Canarian Agency for Research, Innovation and Information Society (ACIISI); New Frontiers Program [NNM10AA11C]
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0019103518307942
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.icarus.2019.03.007
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