Title :
Interferometric SAR topographic mapping, a Bayesian model-based approach
Author :
Wilkinson, Andrew J. ; Datcu, Mihai
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
Abstract :
A novel treatment of interferometric SAR as a Bayesian estimation problem is presented. Application of the Bayesian approach involves devising: a model relating system geometry, surface topography and reflectivity to the measured radar signals, a stochastic model of the topographic surface embodying the dominant terrain characteristics of slope and curvature and a stochastic model of the surface reflective properties. This information is combined into a conditional probability density function of the model parameters given the measured data. System models are proposed, and possible algorithms for estimating model parameters are considered. The issue of formulating an error estimate is discussed
Keywords :
electromagnetic wave reflection; parameter estimation; radar imaging; radiowave interferometry; reflectivity; remote sensing by radar; stochastic processes; synthetic aperture radar; topography (Earth); Bayesian estimation; Bayesian model-based approach; algorithms; conditional probability density function; curvature; dominant terrain characteristics; error estimate; interferometric SAR topographic mapping; measured data; measured radar signals; model parameters; reflectivity; slope; stochastic model; surface reflective properties; surface topography; system geometry; system models; topographic surface; Bayesian methods; Information geometry; Radar applications; Radar measurements; Reflectivity; Solid modeling; Stochastic systems; Surface topography; Surface treatment; Terrain mapping;
Conference_Titel :
Communications and Signal Processing, 1997. COMSIG '97., Proceedings of the 1997 South African Symposium on
Conference_Location :
Grahamstown
Print_ISBN :
0-7803-4173-2
DOI :
10.1109/COMSIG.1997.629987
