@Article{WiederkehrGaMuSaBiSa:2019:AnTaDe,
author = "Wiederkehr, Natalia Cristina and Gama, F{\'a}bio Furlan and Mura,
Jos{\'e} Cl{\'a}udio and Santos, Jo{\~a}o Roberto dos and
Bispo, Polyanna da Concei{\c{c}}{\~a}o and Sano, Edson Eyji",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {University of Leicester} and {Empresa
Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)}",
title = "Analysis of the target decomposition technique attributes and
polarimetric ratios to discriminate land use and land cover
classes of the tapaj{\'o}s region",
journal = "Boletim de Ci{\^e}ncias Geod{\'e}sicas",
year = "2019",
volume = "25",
number = "1",
pages = "UNSP e2019002",
keywords = "Forest mapping, Amazonia, ALOS/PALSAR-2, remote sensing, forest
monitoring.",
abstract = "This study aims to analyze the capability of the target
decomposition techniques and the polarimetric ratios applied to
the ALOS/PALSAR-2 satellite polarimetric images to discriminate
the land use and land cover classes in the Tapajos National Forest
region, Para State. Three full polarimetric ALOS/PALSAR-2, level 1
single look complex scenes were selected to generate the coherence
and the covariance matrices to derive the Cloude-Pottier and the
Freeman-Durden target decomposition attributes. From the
radiometrically calibrated PALSAR-2 images, we generated the
backscatter coefficients, the cross polarized ratio (RC; HV/HH),
the parallel polarized ratio (RP; VV/HH) and the Radar Forest
Degradation Index (RFDI). The images resulting from these
polarimetric attributes were processed by the Maximum Likelihood
(MAXVER) classifier coupled with the Iterated Conditional Modes
(ICM) contextual algorithm. We found that the classifications
derived from the target decomposition attributes, mainly from the
Cloude-Pottier technique, with a Kappa index of 0.75, presented a
significant higher performance than those derived from the RC
ratio, RP ratio, and RFDI.",
doi = "10.1590/s1982-21702019000100002",
url = "http://dx.doi.org/10.1590/s1982-21702019000100002",
issn = "1413-4853",
language = "en",
targetfile = "1982-2170-bcg-25-01-e2019002.pdf",
urlaccessdate = "27 abr. 2024"
}