– P. Réfregier (Institut Fresnel) : Cramer-Rao Bound and application to radar and optical polarimetry Carte non disponible Date/heure Date(s) - 10 janvier 2013 Catégories Pas de Catégories Title: Cramer-Rao Bound and application to radar and optical polarimetry By Philippe Réfregier, Institut Fresnel. During this talk, we will try to illustrate estimation precision characterization techniques for two applications of polarimetric measuments. The first one concerns optical microscopy polarimetry with second order nonlinearities. The goal consists in estimating structural parameters of the distribution of collagen molecules. With the second applications, the estimation of the biomass vegetation is estimated with polarimetric interferometric radar systems in order to cover large areas. We will essentially show with these simple examples how the Cramer-Rao bound allows one to characterize precisely and to optimize measurement systems. We will also discuss the use of invariance properties in order to simplify the analysis.
– P. Réfregier (Institut Fresnel) : Cramer-Rao Bound and application to radar and optical polarimetry Carte non disponible Date/heure Date(s) - 10 janvier 2013 Catégories Pas de Catégories Title : Cramer-Rao Bound and application to radar and optical polarimetry\n\nBy Philippe Réfregier, Institut Fresnel.\n\nDuring this talk, we will try to illustrate estimation precision characterization techniques for two applications of polarimetric measuments. The first one concerns optical microscopy polarimetry with second order nonlinearities. The goal consists in estimating structural parameters of the distribution of collagen molecules. With the second applications, the estimation of the biomass vegetation is estimated with polarimetric interferometric radar systems in order to cover large areas. We will essentially show with these simple examples how the Cramer-Rao bound allows one to characterize precisely and to optimize measurement systems. We will also discuss the use of invariance properties in order to simplify the analysis.[