@InProceedings{Jacobo-BerllesMejaFrer:1999:GADiTr,
author = "Jacobo-Berlles, Julio and Mejail, Marta E. and Frery, Alejandro
C.",
title = "The GAO distribution as the true model for SAR images",
booktitle = "Proceedings...",
year = "1999",
editor = "Stolfi, Jorge and Tozzi, Cl{\'e}sio Luis",
pages = "327--336",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 12.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Campinas, SP, Brazil, from October 17
to 20.",
keywords = "gao distribution, sar images.",
abstract = "For many SAR sensors, urban areas, forests and pasture areas have
a growing degree of homogeneity, and for each one of these region
types there is a distribution class that fits the data best. In
this work, the feasibility of using the GAO distribution as a
general model is studied, and the practical usefulness of this
proposal is shown. The GAO distribution will be adopted as the
true model, and its locally estimated parameters will be used for
classification of synthetic and real SAR images.",
conference-location = "Campinas, SP, Brazil",
conference-year = "17-20 Oct. 1999",
doi = "10.1109/SIBGRA.1999.805742",
url = "http://dx.doi.org/10.1109/SIBGRA.1999.805742",
organisation = "SBC - Brazilian Computer Society and UNICAMP - University of
Campinas",
ibi = "83LX3pFwXQZ4BFjAq/jiHkE",
url = "http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiHkE",
targetfile = "043-07857927.pdf",
urlaccessdate = "2024, May 02"
}