@InProceedings{MorandeiraFurt:2015:AsSuOb,
author = "Morandeira, Natalia Soledad and Furtado, Luiz Felipe de Almeida",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Using polarimetric C-Band data to discriminate wetland vegetation
in the Lower Paran{\'a} River floodplain: assesment of a
supervised object-based Random Forests classifier",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6958--6965",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The Lower Paran{\'a} River floodplain wetlands are dominated by
herbaceous communities. Dominant macrophyte species have been
classified in Plant Functional Types, summarizing their main
structural and functional features and their expected responses to
the environment. In a previous work, a polarimetric RADARSAT-2
C-Band scene was classified with an unsupervised per-pixel
approach on the coherence matrix (a progressive Wishart H/Alpha
classifier), but a relatively low global accuracy (58.2%) and
Kappa index (50.4%) were obtained. In this work, we assessed a
supervised object-based Random Forests classifier on the same
scene. Based in previous works in other areas, we expected a
higher accuracy for the Random Forests classifier than for the
Wishart one. However, we obtained a even lower global accuracy
(55.2%) and Kappa index (40.6%). Also, most of the areas were
assigned to Plant Functional Type A (corresponding to bulrush
marshes). We compared the classifiers and discuss possible reasons
for the lower accuracy of the object based classifier. Our results
suggest that most of the errors can be caused by the high
simmilarities between the Plant Functional Type classes and
between short grasses and Bare Soil. Other possible explanation of
the low accuracy of the Random Forests classifier is that it does
not follow the statistical distribution of the polarimetric
data.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1524",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4JGE",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4JGE",
targetfile = "p1524.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "28 abr. 2024"
}