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Bayesian estimation of surface information from radar images
Abstract
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.
Subject Area
Statistics|Electrical engineering
Recommended Citation
Hartt, Keith David, "Bayesian estimation of surface information from radar images" (1993). Doctoral Dissertations Available from Proquest. AAI9329621.
https://scholarworks.umass.edu/dissertations/AAI9329621