By Topic

Deriving morphographic classification for cellular network planning using SAR interferometry

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)
Hyyppa, J. ; Dept. of Electron. & Telecommun., Helsinki Univ. of Technol., Espoo, Finland ; Torma, M. ; Engdahl, M.

This paper demonstrates that morphographic classification for cellular network planning can be produced using coherence and intensity information of SAR images. One SLC image pair of the Tandem Mission was used for the classification. The selected morphographic classes were water, open, forests, suburban and urban areas. As classification features, intensity, coherence and texture obtained from intensity and coherence images were applied. Since the water areas were difficult to separate from forest areas, the classification process was divided into two steps: in the first one, water areas were determined, and the second step concentrated in separating the other classes. The overall percentage of incorrectly classified cases were 16.2%

Published in:

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International  (Volume:4 )

Date of Conference: