Generating accurate three dimensional planetary models and albedo maps is becoming increasingly more important as NASA plans more robotics missions to the Moon in the coming years. This paper describes a novel approach for separation of topography and albedo maps from orbital Lunar images. Our method uses an optimal Bayesian correlator to refine the stereo disparity map and generate a set of accurate digital elevation models (DEM). The albedo maps are obtained using a multi-image formation model that relies on the derived DEMs and the Lunar- Lambert reflectance model. The method is demonstrated on a set of high resolution scanned images from the Apollo era missions.


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    Titel :

    Lunar Terrain and Albedo Reconstruction from Apollo Imagery


    Beteiligte:
    A. V. Nefian (Autor:in) / T. Kim (Autor:in) / M. Broxton (Autor:in) / Z. Moratto (Autor:in)

    Erscheinungsdatum :

    2010


    Format / Umfang :

    9 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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