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

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

Apr 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.529e..17r&link_type=abstract

Proceedings of the Workshop on POLinSAR - Applications of SAR Polarimetry and Polarimetric Interferometry (ESA SP-529). 14-16 Ja

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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 giving better first year ice discrimination than C band.

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