By Topic

Evolving feature-extraction algorithms: adapting genetic programming for image analysis in geoscience and remote sensing

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

4 Author(s)
J. M. Daida ; Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA ; T. F. Bersano-Begey ; S. J. Ross ; J. F. Vesecky

Discusses a relatively new procedure in the computer-assisted design of pattern-extraction algorithms. The procedure involves the adaptation of genetic programming, a recent technique that has been used for automatic programming, for image processing and analysis. This paper summarizes several of the measures the authors have taken to develop two prototype systems that help a user to design pattern-extraction algorithms

Published in:

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International  (Volume:4 )

Date of Conference:

27-31 May 1996