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

Extensible Land Use Classification Framework Based on Remotely Sensed Image Facing to Data Integration, Exchange and Sharing

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

2 Author(s)
Wang Juanle ; Inst. of Geogr. Sci. & Natural Resources Res., Chinese Acad. of Sci., Beijing ; Jia Wenchen

Land use information plays important role not only in social-economic development but also in scientific research area. With the development of the Information Technology, remotely sensed images provide main data sources for land use information and knowledge extraction in real time. While there are lots of land use classification systems in the world facing to different research or application purposes. And with the crossing of multi-disciplines and expanding of the research area, more and more land use classification systems are designed. This brings the difficulties for land use data setspsila integration, exchange and sharing under different classification systems. The problem faced to land use classification systems are similar with the problem of metadata standards in geographic information data management field. While ISO Metadata Standard 19115 designed by ISO TC 211 provides a perfect solution for geographic data integration, exchange and sharing. Enlightened by the ISO 19115 metadata extensible model, the paper brings forward the land use extensible classification framework. The framework is composed of 3 tiers, i.e., land use core classes, corpora classes and application profile classes. The core and corpora classes are derived from the main international land use classification systems in the world. Semantic exchange mechanism between core classes and other main classification in the world is designed supported by information techniques. Extension principle and methods are designed in this framework. This ensures many application classification profiles can be extended from the core classes and corpora classes easily.

Published in:

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on  (Volume:1 )

Date of Conference:

3-4 Aug. 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.