By Topic

Efficient transmission and classification of hyperspectral image 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

2 Author(s)
Xiuping Jia ; Sch. of Electr. Eng., Univ. Coll., Campbell, ACT, Australia ; Richards, J.A.

An extension of a newly developed cluster-space representation is applied to efficient data transmission and classification. Cluster-space classification, which is an automatic hybrid supervised and unsupervised classification procedure, can be performed in two stages. A "semiproduct" with low entropy is generated at the sender end. It is then transmitted to a range of users for further classification. Experiments using a HyMap dataset demonstrate the advantages in data transmission and the satisfactory classification accuracy.

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:41 ,  Issue: 5 )