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...

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Bibliographic Details
Main Authors: A. Rodrigues, D. Corr, K. Partington, E. Pottier, L. Ferro-famil
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2003
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
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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