@InProceedings{DutraScAbNeFrAn:2009:LaCoCl,
author = "Dutra, Luciano Vieira and Scofield, Graziela Balda and Aboud Neta,
Sumaia Resegue and Negri, Rog{\'e}rio Galante and Freitas, Corina
da Costa and Andrade, Daniel",
affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto
Nacional de Pesquisas Espaciais} and {Instituto Nacional de
Pesquisas Espaciais} and {Instituto Nacional de Pesquisas
Espaciais} and {Instituto Nacional de Pesquisas Espaciais} and
{Instituto Nacional de Pesquisas Espaciais}",
title = "Land Cover Classification in Amazon using Alos Palsar Full
Polarimetric Data",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "7259--7264",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "land cover classification. polarimetry, segmentation, sar, radar
Palsar, Alos.",
abstract = "The ALOS PALSAR sensor can provide full polarimetric SAR data (HH,
HV and VV) but the full polarimetric mode is only available
experimentally. Here, several supervised classifiers have been
studied to determine how much the use of full polarized (HH, VV
and HV, no phase information) PALSAR data information can improve,
or not, the overall classification accuracy in comparison with the
standard products, which, for PALSAR instrument, is the HH (like
JERS-1) or the dual polarization product HH-HV. The study area,
Tapaj{\'o}s National Forest at the south of Santar{\'e}m City,
in the Brazilian Amazon, Par{\'a} State, has being object of
intensive scientific observation for more than 15 years. Several
types of supervised classifiers are tested for having, as much as
possible, an assessment rather independent of the classifier type.
Initial results indicate that, no phase considered, the dual
polarization product HH-HV is the better channels combination for
mapping the set of tropical classes composed by the primary
forest, secondary forest, bare soil, agriculture and degraded
forest. Also, it was observed that one year regeneration areas are
not discriminated in any PALSAR combination, which indicates the
utility of maintaining the complementary use of optical images
when possible, because, in the optical combination, the one year
regeneration class still shows different from secondary forest.
Region based classification, particularly one developed to take in
account as much as possible the radar statistical behavior,
generally presented better performance.",
conference-location = "Natal",
conference-year = "25-30 abr. 2009",
isbn = "978-85-17-00044-7",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "dpi.inpe.br/sbsr@80/2008/11.17.18.24",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.18.24",
targetfile = "7259-7264.pdf",
type = "Radar: Pesquisa, Desenvolvimento e Aplica{\c{c}}{\~o}es",
urlaccessdate = "07 maio 2024"
}