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Proceedings Paper

Polarimetric SAR observables for land cover classification: analyses and comparisons
Author(s): Vito Alberga; Giuseppe Satalino; Doroteya K. Staykova
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Paper Abstract

In this contribution, we present a study on a series of representations of polarimetric synthetic aperture radar (SAR) data, testing and comparing them with respect to their utility for land cover classification. Different classification algorithms are also compared. Part of this work is dedicated to the study of the dependence of the classification results on the varying size of averaging windows of pixels. Such an analysis will permit to prove if the polarimetric parameters under consideration describe only point-like physical properties of the targets or if they also contain "extended" local information. The final goal is to provide an objective estimate of the usefulness of these parameters.

Paper Details

Date Published: 9 October 2006
PDF: 12 pages
Proc. SPIE 6363, SAR Image Analysis, Modeling, and Techniques VIII, 636305 (9 October 2006); doi: 10.1117/12.691088
Show Author Affiliations
Vito Alberga, Royal Military Academy (Belgium)
Giuseppe Satalino, Institute of Intelligent Systems for Automation, CNR (Italy)
Doroteya K. Staykova, Consultant (Bulgaria)


Published in SPIE Proceedings Vol. 6363:
SAR Image Analysis, Modeling, and Techniques VIII
Claudia Notarnicola; Sune R. J. Axelsson; Francesco Posa, Editor(s)

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