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

Classification method for aerial LiDAR data based on Markov random field

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 $31
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)
Zheng, Y. ; Nat. Key Lab. of Sci. & Technol. on Multi-spectral Inf. Process., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Cao, Z.

A novel classification method for aerial LiDAR data is proposed. It is implemented by maximising the marginal probabilities, inferred from a Markov random field which models the neighbourhood and altitude difference between surface patches extracted from LiDAR points. Experiment results show the proposed method can classify the LiDAR data properly.

Published in:

Electronics Letters  (Volume:47 ,  Issue: 16 )

Date of Publication:

Aug. 4 2011

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.