@InProceedings{LiesenbergGloa:2015:CoSiDu,
author = "Liesenberg, Veraldo and Gloaguen, Richard",
title = "Comparing Single, Dual and Quad-Polarimetric Data at L-band for
Classification Purposes in Eastern Amazon",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7321--7326",
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 = "Single, dual, and quad-polarization mode data at spaceborne L-band
were evaluated for the classification of seven land use classes in
an area with shifting cultivation practices located in the Eastern
Amazon (Brazil). We evaluated Advanced Land-Observing Satellite
(ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR)
derived backscattering intensity, polarimetric features,
interferometric coherence and texture parameters for
classification purposes using support vector machines (SVM) and
feature selection. Results showed that the forest classes were
characterized by low temporal backscattering intensity
variability, low coherence and high entropy. Quad polarization
mode performed better than dual and single polarizations but
overall accuracies remain low and were affected by precipitation
events on the date and prior SAR date acquisition.
Misclassifications were reduced by integrating Landsat data and an
overall accuracy of 85% was attained. We show that in absence of
Landsat data, polarimetric features extracted from
quad-polarization L-band increase classification accuracies when
compared to single and dual polarization alone. We argue that the
joint analysis of SAR and their derived parameters with optical
data performs even better and thus encourage the further
development of joint techniques.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1633",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4JTH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4JTH",
targetfile = "p1633.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "28 abr. 2024"
}