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Area of Science:

  • Planetary Science
  • Remote Sensing
  • Photogrammetry

Background:

  • Digital Elevation Models (DEMs) are vital for Mars remote sensing and rover landing site characterization.
  • Shape from Shading (SfS) enhances DEM quality, resolution, and accuracy.
  • Existing SfS methods often require external data and lack atmospheric considerations.

Purpose of the Study:

  • To adapt a lunar Shape and Albedo from Shading framework for Mars.
  • To develop a method for DEM generation using an embedded Hapke photometric reflectance model and an atmospheric model.
  • To directly estimate Martian atmospheric parameters and account for spatially varying albedo without external data.

Main Methods:

  • Extended a lunar SfS framework to Mars by integrating the Hapke reflectance model with an atmospheric model.
  • Generated DEMs using imagery from the Mars Reconnaissance Orbiter's Context Camera (CTX).
  • Validated the method under varying atmospheric conditions (clear and opaque).

Main Results:

  • The proposed method successfully generates DEMs by directly estimating atmospheric parameters.
  • Spatially varying albedo was assumed, improving model applicability.
  • DEM quality was validated for different atmospheric optical depths.

Conclusions:

  • Atmospheric compensation is crucial for high optical depths to achieve accurate Martian DEMs.
  • For low optical depths, the Hapke model without atmospheric compensation is sufficient.
  • The developed framework enhances the utility of Mars orbital imagery for surface characterization.