FN Archimer Export Format
PT J
TI Fuzzy Logic Applied to Track Generation Areas of Swell Systems Observed by SAR
BT 
AF DE FARIAS, Eduardo G. G.
   LORENZZETTI, Joao A.
   BENTAMY, Abderrahim
   CHAPRON, Bertrand
   HUSSON, Romain
AS 1:1;2:1;3:2;4:2;5:3;
FF 1:;2:;3:PDG-ODE-LOS;4:PDG-ODE-LOS;5:;
C1 Natl Inst Space Res INPE, Remote Sensing Div, BR-12227010 Sao Josedos Campos, Brazil.
   Inst Francais Rech Exploitat Mer, Lab Oceanog Spatiale, F-29280 Plouzane, France.
   Collecte Localisat Satellites, F-29280 Plouzane, France.
C2 INPE, BRAZIL
   IFREMER, FRANCE
   CLS, FRANCE
SI BREST
SE PDG-ODE-LOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-int-hors-europe
   copubli-sud
IF 1.82
TC 2
UR https://archimer.ifremer.fr/doc/00109/21992/20637.pdf
LA English
DT Article
DE ;Swell wave fields and fuzzy logic;synthetic aperture radar (SAR)
AB Recently, with the availability of a great number of synthetic aperture radar (SAR) wave mode spectra, it has been possible to derive a set of great circle lines of swell propagation whose intersection points indicate the position of the storm generating the observed swell field. However, due to the inherent limitations of SAR spectra, the locus of convergence of great circle of swell propagation can be sometimes diffuse or contain multiple convergence regions. In this letter, we adapted the fuzzy cluster logic method to identify the regions of convergence of SAR wave field rays. The analysis of the results of the fuzzy algorithm clearly indicates the ability of this statistical method to identify the cluster center region of swell fields observed in SAR wave mode images. The measure of success of the method was how well the generation center of the swell could be traced back to an existing strong storm system.
PY 2012
PD SEP
SO Ieee Geoscience And Remote Sensing Letters
SN 1545-598X
PU Ieee-inst Electrical Electronics Engineers Inc
VL 9
IS 5
UT 000310915500009
BP 841
EP 845
DI 10.1109/LGRS.2012.2185213
ID 21992
ER

EF