@inproceedings{368e5ab256324d12af908107f05f6c21,
title = "Polarimetric SAR observables for land cover classification: Analyses and comparisons",
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.",
keywords = "Earth observation, Image classification, Neural networks, Synthetic aperture radar (SAR) polarimetry",
author = "Vito Alberga and Giuseppe Satalino and Staykova, {Doroteya K.}",
year = "2006",
doi = "10.1117/12.691088",
language = "English",
isbn = "0819464589",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "SAR Image Analysis, Modeling, and Techniques VIII",
note = "SAR Image Analysis, Modeling, and Techniques VIII ; Conference date: 13-09-2006 Through 14-09-2006",
}