LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO IMAGERY

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LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO IMAGERY ARA V NEFIAN*, TAEMIN KIM**, MICHAEL BROXTON**, AND ZACH MORATTO** Abstract. 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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33 LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO IMAGERY https://c3.nasa.gov/dashlink/static/media/publication/Paper_10_.pdf
33 LUNAR TERRAIN AND ALBEDO RECONSTRUCTION FROM APOLLO IMAGERY https://c3.nasa.gov/dashlink/static/media/publication/Paper_10_.pdf

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  • dashlink
  • nasa
  • ames

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