By Topic

Classification of DCT-based filtered multichannel 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
$33 $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)
Fevralev, D. ; Dept of Receivers, Transmitters & Signal Process., Nat. Aerosp. Univ., Kharkov, Ukraine ; Lukin, V. ; Krivenko, S. ; Ponomarenko, N.
more authors

Multichannel remote sensing (MRS) data can be passed to customers in different forms: original (raw), pre-filtered, compressed, classified. In this paper, we analyze how pre-filtering of original images can influence classification accuracy of three-channel images using three channels of real life Landsat TM data with simulated noise.

Published in:

Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on

Date of Conference:

23-27 Feb. 2010