Reconstruction of the surface topography from single images with the photometric method

Removal of topographic effects from lunar images using Kaguya (LALT) and Earth-based observations

“…To provide an optimal filtration of the noise, Parusimov and Kornienko (1973), Hung et al (1988), Kornienko et al (1994), and Dulova et al (2008) proposed the Bayesian approach to determine topography and optical characteristics of a planetary surface from photometric imagery. This technique uses a statistical approach and makes it possible to formulate a well posed mathematical problem in the presence of measurement noise.…”

“…An earlier implementation of the method (Korokhin and Akimov, 1997) used a linear approach that implies that the slopes are small. As we deal with many high-quality images that provide low noise, the methods of optimal filtration (e.g., Dulova et al, 2008) were not used. In addition, we present results of removing the topographic effects from lunar images of the photometric-function parameters.…”

Combining airborne lidar and Landsat ETM+ data with photoclinometry to produce a digital elevation model for Langjökull, Iceland

“…Cooper 1994) or iterative minimization of an energy function (e.g. Hurt 1991;Liu 2003;Dulova et al 2008) to relate slope in perpendicular directions. However, while scattered tie points can be used to attach an absolute elevation to a DEM generated by an areal approach, only profile integration is able to incorporate large numbers of tie points.…”