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

Neural networks for the oil spill detection using ERS-SAR data

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

5 Author(s)

A neural network approach for semi-automatic detection of oil spills in ERS-SAR imagery is presented. The network input is a vector containing the values of a set of features, previously calculated by using dedicated routines, characterizing the oil spill candidate either from the point of view of its geometry or of its physical behaviour. The algorithm classification performance has been evaluated on a data set containing verified examples of oil spill and look-alike

Published in:

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International  (Volume:1 )

Date of Conference:

1999

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.