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Unsupervised Wishart Classifications of Sea-Ice using Entropy, Alpha and Anisotropy decompositions

Alex Rodrigues (1), Dr Douglas Corr(1) , and Dr Kim Partington(2)

(1) QinetiQ, Room 1058, A8 Building, Farnborough, Hants. GU14 0LX, United Kingdom
(2) Vexcel UK, Arrowfield House, Newbury, Berkshire. RG14 6AA, United Kingdom

Abstract

Sea-ice classification based on scattering mechanisms is investigated using the Unsupervised Wishart Classification with Entropy, Alpha and Anisotropy decomposition parameters. L and C Band JPL AIRSAR fully polarimetric data from the Beaufort Sea during winter/freeze conditions are used for testing the algorithm. Initial results show that, within specified ranges of incidence angles, there is good discrimination between the major ice classes, with L-Band generating better results in general than C band.

 

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