DocumentCode :
1453890
Title :
Fuzzy Logic Applied to Track Generation Areas of Swell Systems Observed by SAR
Author :
de Farias, E.G.G. ; Lorenzzetti, J.A. ; Bentamy, A. ; Chapron, B. ; Husson, R.
Author_Institution :
Remote Sensing Div., Nat. Inst. for Space Res. (INPE), São Josédos Campos, Brazil
Volume :
9
Issue :
5
fYear :
2012
Firstpage :
841
Lastpage :
845
Abstract :
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.
Keywords :
atmospheric techniques; atmospheric waves; fuzzy logic; fuzzy reasoning; geophysics computing; remote sensing by radar; statistical analysis; storms; synthetic aperture radar; SAR; fuzzy algorithm; fuzzy cluster logic method; statistical method; storm; swell propagation; swell system; synthetic aperture radar wave mode spectra; track generation area; Clustering algorithms; Convergence; Oceans; Satellites; Sea measurements; Storms; Synthetic aperture radar; Swell wave fields and fuzzy logic; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2012.2185213
Filename :
6155730
Link To Document :
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