Active and Passive Remote Sensing of Ice.
Abstract
Volume scattering effects of snow-covered sea ice are studied with a three-layer random medium model for microwave remote sensing. The strong fluctuation theory and the bilocal approximation are applied to calculate the effective permittivities for snow and sea ice. Remote sensing of sea ice is studied with the two-layer random medium model where a correlation function is used to characterize the randomly fluctuating part of the permittivity. A systematic approach for the identification of terrain media is developed using the optimum polarimetric classifier. The covariance matrices for various terrain cover are computed from theoretical models of random medium by evaluating the full polarimetric scattering matrix elements. The Mueller matrix and polarization covariance matrix are described for polarimetric radar systems. The clutter is modelled by a layer of random permittivity, described by a three-dimensional correlation function, with variance, and horizontal and vertical correlation lengths. Electromagnetic waves scattering from a randomly perturbed periodic surface is solved using the Extended Boundary Condition method. We have also derived a general mixing formula for discrete scatterers immersed in a host medium.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 31, 1988
- Accession Number
- ADA193307
Entities
People
- Jin A. Kong
Organizations
- Massachusetts Institute of Technology