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.
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https://hal-supelec.archives-ouvertes.fr/hal-00783115
Contributor : Anne-Hélène Picot <>
Submitted on : Thursday, January 31, 2013 - 2:38:42 PM
Last modification on : Tuesday, March 26, 2019 - 3:10:29 PM

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Joana Frontera-Pons, Jesus Angulo. Supervised morphological target detection from polarimetric Stokes vectors images. 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2012), Jun 2012, Shangai, China. 4 p., ⟨10.1109/WHISPERS.2012.6874334⟩. ⟨hal-00783115⟩

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