Cart (Loading....) | Create Account
Close category search window

Sea Surface Salinity Retrieval for the SMOS Mission Using Neural Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Ammar, A. ; Collecte Localisation Satellites, Ramonville Saint-Agne ; Labroue, S. ; Obligis, E. ; Mejia, C.E.
more authors

During the in-flight phase, using neural networks to retrieve the sea surface salinity from the observed Soil Moisture and Ocean Salinity brightness temperatures (TBs) is an empirical approach that offers the possibility of being independent from any theoretical emissivity model. Due to the large variety of incidence angles, several networks are needed, as well as a preprocessing phase to adapt the observed TBs to the inputs of the networks. When using the first Stokes parameter as an input, the retrieved salinity has a good accuracy (with an error of around 0.6 psu). Furthermore, the solutions for improving these performances are discussed.

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:46 ,  Issue: 3 )

Date of Publication:

March 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.