Supervised morphological target detection from polarimetric Stokes vectors images
Abstract
This papers deals with supervised ordering on the unit hypersphere, which yields a rich framework for the generalization of all morphological operators on the sphere. In particular, supervised openings/closings and supervised hit-or-miss are introduced. Various strategies on the computation of the supervised ordering are considered and the different alternatives are studied for the purpose of structured target detection.