Title :
Polarimetric modeling and parameter estimation with electromagnetic vector sensors
Author :
Hochwald, Bertrand ; Nehorai, Arye
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
The authors analyze two polarimetric models in which the complete electromagnetic field is measured. The first model considers estimation of the polarimetric response of a surface by measuring the reflections of actively generated plane waves. The second model considers estimation of the polarization of passively generated plane waves. In both models the authors provide a natural parametrization of the distribution of the received electromagnetic signal. Using the Cramer-Rao bound on the variance of unbiased estimates of the parameters, they show that this parametrization, which has a simple geometrical interpretation, also has good statistical properties. These models are fitted into a common framework and are compared.
Keywords :
S-matrix theory; backscatter; geophysical techniques; radar applications; radar cross-sections; radar polarimetry; radar theory; radiometry; remote sensing by radar; Cramer-Rao bound; S-matrix theory; actively generated plane wave; backscatter; electromagnetic vector sensors; geophysical measurement technique; land surface terrain mapping; microwave radiometry; parameter estimation; parametrization; passively generated plane wave; polarimetric model; radar polarimetry polarization; radar scattering; scattering matrix; unbiased estimate; variance; Additive noise; Covariance matrix; Electromagnetic analysis; Electromagnetic fields; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic reflection; Electromagnetic scattering; Electromagnetic wave polarization; Parameter estimation; Response surface methodology; Surface waves;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399363