Date of Award
Doctor of Philosophy (PhD)
radar images, bayesian, Magellan, Venus
Mathematics | Physical Sciences and Mathematics
The dissertation presents a method for deriving the shape of a surface from a radar image of the surface. An appropriate model of radar image formation is derived from physical principles. A Bayesian formulation of the inversion problem is developed upon which a computational strategy is based. Theoretical results on random surfaces relevant to the prior distribution are presented, and convergence and optimality properties of a new sampling algorithm are described. The technique is applied to Magellan data of Venus.
Hartt, Keith David, "Bayesian Estimation of Surface Information from Radar Images" (1993). Open Access Dissertations. Paper 363.