Unsupervised Wishart classification of sea-ice using entropy, alpha and anisotropy decompositions, POLinSAR
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...
Main Authors: | , , , , |
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Other Authors: | |
Format: | Text |
Language: | English |
Published: |
2003
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Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.4207 http://earth.esa.int/workshops/polinsar2003/papers/17_rodrigues.pdf |
Summary: | 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. 1 |
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