@InProceedings{BuonoPaesNunzMigl:2015:BrRe,
author = "Buono, Andrea and Paes, Rafael Lemos and Nunziata, Ferdinando and
Migliaccio, Maurizio",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Synthetic Aperture Radar for oil spill monitoring: a brief
review",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2806--2813",
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 = "In this paper, a review of Synthetic Aperture Radar (SAR)-based
techniques, for oil slick at sea observation is proposed, focusing
in particular on polarimetric approaches. In fact, marine oil
pollution monitoring is a topic of great applicative and
scientific relevance and in such a context, among all remote
sensing sensors, SAR represents a fundamental tool due to its
almost all-weather and all-day imaging capability, providing
synoptic maps of the observed scene with a fine spatial resolution
and a dense revisit time. Although traditionally SAR-based
techniques for oil pollution observation rely on automatic or
partially supervised classifiers applyed on single-polarization
SAR imagery and based on image processing algorithms, in the last
decade the growing number of fully and partially polarimetric data
available from several polarimetric SAR sensors offered an
unprecedented amount of physical information about the scattering
mechanisms ruling the interaction between the observed scene and
the SAR illumination. Hence, a set of polarimetric approaches that
exploit the oil-covered sea surface departure from Bragg
scattering, which characterizes the scattering from a slightly
rough surface as the slick-free ocean one, have been developed.
Polarimetric SAR observations represent a significant improvement
allowing to distinguish oil slicks from look-alikes (low-wind
areas, biogenic films, etc.) and to avoid or reduce the need of
trained personnel and external information (optical and
scatterometer data) required for single polarization SAR-based
techniques.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "556",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4ADE",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4ADE",
targetfile = "p0556.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "03 jun. 2024"
}