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Polarisation: Applications in Remote Sensing$
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Shane Cloude

Print publication date: 2009

Print ISBN-13: 9780199569731

Published to Oxford Scholarship Online: February 2010

DOI: 10.1093/acprof:oso/9780199569731.001.0001

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Depolarisation and scattering entropy

Depolarisation and scattering entropy

(p.71) 2 Depolarisation and scattering entropy
Polarisation: Applications in Remote Sensing

S. R Cloude

Oxford University Press

This chapter is concerned with stochastic or random effects in wave scattering. It introduces the important concept of the generalised scattering coherency matrix, and relates it to the classical description of partial polarisation based on the Stokes vector and Mueller matrix. It then considers a general characterisation of depolarising systems based on eigenvalue/eigenvector methods applied to the coherency matrix, and considers a hierarchy of scattering problems including backscatter and forward scatter as special cases of the general bistatic case. It then shows how scattering entropy arises as a natural way to characterise the stochastic nature of wave scattering from random media, and how unitary matrix algebra can be used to devise a general classification scheme.

Keywords:   Depolarisation, Entropy, Mueller Matrix, Coherency Matrix, Stokes Vector

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