@Article{OrtizLore:2018:ObMuOc,
author = "Ortiz, Gustavo P. and Lorenzzetti, Joao Antonio",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Observing multimodal ocean wave systems by a multiscale analysis
of polarimetric SAR imagery",
journal = "IEEE Geoscience and Remote Sensing Letters",
year = "2018",
volume = "15",
number = "11",
pages = "1735--1739",
month = "nov.",
keywords = "Synthetic Aperture Radar - SAR, Polarimetria SAR, Multimodal wave
systems, Mean Square Slopes.",
abstract = "A new methodology is here presented for the assessment of deep
water multimodal ocean wave systems using polarimetric Radarsat-2
imagery. To separate wave systems in multimodal cases and evaluate
their statistics individually, the new approach uses a multiscale
processing scheme together with the mean square slope statistics
theory of ocean waves, which has been originally developed from
optical and radar altimetry sensors. Moreover, it was possible to
classify the wave systems as wind driven or pure swell. The
results show a reasonable agreement with data by a nearby metocean
buoy. More C-band polarimetric SAR imagery is required to fully
validate the methodology with well collocated wave buoys. We
reckon that this new approach, being a fast and independent
satellite algorithm to assess multimodal ocean wave systems, could
contribute to several coastal/oceanic engineering applications and
monitoring systems.",
doi = "10.1109/lgrs.2018.2859810",
url = "http://dx.doi.org/10.1109/lgrs.2018.2859810",
issn = "1545-598X",
label = "lattes: 3852581196429739 2 OrtizLore:2018:ObMuOc",
language = "en",
targetfile = "ortiz_observing.pdf",
urlaccessdate = "25 abr. 2024"
}