@InProceedings{SantosOhatQuin:2003:ApDeCl,
author = "Santos, Ros{\^a}ngela Leal and Ohata, Arlete Tieko and
Quintanilha, Jos{\'e} Alberto",
affiliation = "{Universidade de S{\~a}o Paulo (USP). Escola Polit{\'e}cnica
(EP). PTR. Universidade Estadual de Feira de Santana (UEFS).
Departamento de Tecnologia (DTEC).} and {Universidade de S{\~a}o
Paulo (USP). Escola Polit{\'e}cnica (EP). PTR.} and {Universidade
de S{\~a}o Paulo (USP). Escola Polit{\'e}cnica (EP). PTR.}",
title = "A an{\'a}lise bayesiana na classifica{\c{c}}{\~a}o
supervisonada de imagens: aplica{\c{c}}{\~a}o na
determina{\c{c}}{\~a}o de classes de uso do solo (Mogi das
Cruzes-SP)",
booktitle = "Anais...",
year = "2003",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria
Garcia",
pages = "2119 - 2122",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Bayesian classification, remote sensing, image processing, land
use.",
abstract = "This article describes an application using bayesian
classification algorithms to determine land use classes. In this
research was used BAYCLAS, BELCLAS and Dempster-Shafer modificaded
algorithms to process LANDSAT 7-TM image satellite, inplemented
algoritms in IDRISI 32 software. We made a analysis between them
observing with one has better performance to recognize different
patterns and to discriminate most clearly as possible the land use
classes. With these elements analyzed we will define a methodology
to apply in a role area.",
conference-location = "Belo Horizonte",
conference-year = "5-10 abr. 2003",
isbn = "85-17-00017-X",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "ltid.inpe.br/sbsr/2002/11.18.00.34",
url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.18.00.34",
targetfile = "15_363.pdf",
type = "Processamento de Imagens Digitais / Digital Image Processing",
urlaccessdate = "13 maio 2024"
}