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

Generation of land-cover descriptions for the classification of multisensor remote-sensing images

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

3 Author(s)
Pellegretti, P. ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy ; Serpico, S.B. ; Vernazza, G.

The paper deals with a learning system to acquire automatically the descriptions of objects to be recognized in remotely sensed images. These descriptions are in a symbolic form and use contextual properties and fuzzy logic descriptors to describe spectral properties. The system was tested on an Airborn Thematic Mapper (ATM) image of agricultural crops. The satisfactory results obtained in terms of classification accuracy witnessed the goodness of the approach and that the acquired descriptions are reliable. In particular, they can be employed as knowledge base for an expert classification system

Published in:

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Date of Conference:

18-21 Aug 1993

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.