Fully polarimetric classification accuracy

Assuming that polarimetric data is entirely described by the underlying complex covariance matrix, this paper gives expressions for the maximum likelihood classification accuracy, and applies these to real data. This assumes negligible interclass environmental variation and a homogeneous image structure which is overly simplistic. By including a model of environmental variation, more realistic results may be possible.