Active and Passive Remote Sensing of Ice.

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 stud...

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Bibliographic Details
Main Author: Kong, Jin A.
Other Authors: MASSACHUSETTS INST OF TECH CAMBRIDGE RESEARCH LAB OF ELECTRONICS
Format: Text
Language:English
Published: 1988
Subjects:
Radiofrequency Wave Propagation
*ELECTROMAGNETIC SCATTERING
*RADAR EQUIPMENT
*SEA ICE
BOUNDARIES
CORRELATION
COVARIANCE
DIELECTRIC PROPERTIES
ELECTROMAGNETIC RADIATION
FORMULATIONS
FUNCTIONS(MATHEMATICS)
HORIZONTAL ORIENTATION
ICE
IDENTIFICATION
LAYERS
LENGTH
MATRICES(MATHEMATICS)
MEDIA
MICROWAVES
MIXING
MODELS
PASSIVE SYSTEMS
PERTURBATIONS
POLARIMETRY
REMOTE DETECTORS
SCATTERING
SNOW
SNOW COVER
SURFACES
TERRAIN
THEORY
THREE DIMENSIONAL
VARIATIONS
VERTICAL ORIENTATION
VOLUME
RADAR
AIRBORNE
Mueller
Sea ice
Online Access:http://www.dtic.mil/docs/citations/ADA193307
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA193307
Description
Summary: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.

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