Multichannel blind deconvolution of polarimetric imagery.
A maximum likelihood blind deconvolution algorithm is derived for incoherent polarimetric imagery using expectation maximization. In this approach, the unpolarized and fully polarized components of the scene are estimated along with the corresponding angles of polarization and channel point spread functions. The scene state of linear polarization is determined unambiguously using this parameterization. Results are demonstrated using laboratory data.
Lemaster
Daniel A
DA
Department of Electrical and Comupter Engineering, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio 45433, USA. daniel.lemaster@wpafb.af.mil
Cain
Stephen C
SC