• DocumentCode
    3279114
  • Title

    Photometric Lunar surface reconstruction

  • Author

    Nefian, A.V. ; Alexandrov, Oleg ; Moratto, Zachary ; Kim, T. ; Beyer, Ross A.

  • Author_Institution
    NASA Ames Res. Center, Moffett Field, CA, USA
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    2354
  • Lastpage
    2357
  • Abstract
    Accurate photometric reconstruction of the Lunar surface is important in the context of upcoming NASA robotic missions to the Moon and in giving a more accurate understanding of the Lunar soil composition. This paper describes a novel approach for joint estimation of Lunar albedo, camera exposure time, and photometric parameters that utilizes an accurate Lunar-Lambertian reflectance model and previously derived Lunar topography of the area visualized during the Apollo missions. The method introduced here is used in creating the largest Lunar albedo map (16% of the Lunar surface) at the resolution of 10 meters/pixel.
  • Keywords
    albedo; geophysical image processing; image reconstruction; lunar surface; reflectivity; Apollo missions; Lunar albedo map; Lunar soil composition; Lunar topography; Lunar-Lambertian reflectance model; Moon; NASA robotic missions; camera exposure time; joint estimation; photometric Lunar surface reconstruction; photometric parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738485
  • Filename
    6738485