Mathematics – Probability
Scientific paper
Oct 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3121..124z&link_type=abstract
Proc. SPIE Vol. 3121, p. 124-131, Polarization: Measurement, Analysis, and Remote Sensing, Dennis H. Goldstein; Russell A. Chipm
Mathematics
Probability
Scientific paper
The Mueller matrix completely characterizes scattered electromagnetic waves. It relates the incident to the scattered Stokes vectors. The Mueller matrix which contains intensity and relative phase data is very useful for remote sensing. The Mueller matrix , characterizing scattering from uniformly coated 2D random rough surfaces are assumed to be homogeneous, and isotropic with a Gaussian surface height joint probability density function. The diffuse, incoherent and coherent contributions to the Mueller matrix elements are evaluated. The Mueller matrix elements are more sensitive to the changes in the rms slope than to changes in the rms height. The element M(subscript 34) equals M(subscript 43) is most sensitive to variations in the thickness of the coating layer. This result could be used to estimate the thickness of the coating material. The magnitudes of the Mueller matrix elements are considerably more sensitive to changes in dissipation in the coating material than to changes in dissipation of the substrate.
Bahar Ezekiel
Zhang Yuzhi
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