Open AccessTechnique for Huynen–Euler decomposition
Author(s) -
Dallmann T.,
Heberling D.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.1597
Subject(s) - euler's formula , monte carlo method , algorithm , decomposition , set (abstract data type) , euler angles , computer science , euler method , polarimetry , matrix (chemical analysis) , contrast (vision) , scattering , mathematics , point (geometry) , matrix decomposition , decomposition method (queueing theory) , artificial intelligence , physics , mathematical analysis , statistics , optics , geometry , materials science , ecology , eigenvalues and eigenvectors , quantum mechanics , composite material , biology , programming language
We describe a novel approach to extract Huynen–Euler parameters from a polarimetric scattering matrix. In contrast to existing methods, this technique is able to determine the full set of parameters while requiring the handling of only four special cases via case distinction. Results from a Monte‐Carlo simulation show that the maximum error caused by the decomposition is close to floating point accuracy.