Sensibility to noise of new multifractal fusion methods for ocean variables
The repeated observation of the same signatures of mesoscale and submesoscale features in different ocean variables indicates that some common, non-linear processes affect them to a significant extent. A new method to exploit these common signatures to improve the quality of a noisy variable (i.e. i...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-02-01
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Series: | Nonlinear Processes in Geophysics |
Online Access: | http://www.nonlin-processes-geophys.net/21/291/2014/npg-21-291-2014.pdf |
Summary: | The repeated observation of the same signatures of mesoscale and submesoscale
features in different ocean variables indicates that some common, non-linear
processes affect them to a significant extent. A new method to exploit these
common signatures to improve the quality of a noisy variable (i.e. increasing
the signal-to-noise ratio) using another variable as template has recently
been introduced. The method is based on superimposing the multifractal
structure of singularity exponents from the template variable to the variable
to be enhanced. In this paper, we will discuss the sensitivity of this method
to the presence of noise of different types and amplitude. Our results
indicate that multifractal methods can be a key to enhancing the existing
databases of remote sensing images and give hints about non-linear dynamics
of the ocean. |
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ISSN: | 1023-5809 1607-7946 |