Close category search window
 

Land cover classification using SAR: a comparison of the segmentation and filtering approaches

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)
Caves, R.G. ; Centre for Earth Obs. Sci., Sheffield Univ., UK ; Shuan Quegan

Two approaches to reducing speckle in synthetic aperture radar (SAR) images are compared using, the gamma maximum a posteriori filter and a segmentation algorithm based on an iterative process of multi-scale edge detection and segment growing. The two methods are applied to an ERS-1 SAR image of an agricultural scene. The smoothed images and edge maps are compared for the degree and homogeneity of smoothing, and for feature preservation

Published in:
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International  (Volume:2 )

Date of Conference: 10-14 Jul1995

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.