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

Author

Daida, Jason M. ; Bersano-Begey, Tommaso F. ; Ross, Steven J. ; Vesecky, John F.

Author_Institution

Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA

Volume

4

fYear

1996

fDate

27-31 May 1996

Firstpage

2077

Abstract

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

Keywords

feature extraction; genetic algorithms; geophysical signal processing; geophysical techniques; geophysics computing; remote sensing; computer-assisted design; evolving feature extraction algorithm; genetic programming; geophysical measurement technique; geoscience; image analysis; image processing; land surface; pattern-extraction algorithm; remote sensing; terrain mapping; Algorithm design and analysis; Artificial intelligence; Data mining; Genetic programming; Geoscience and remote sensing; Image analysis; Image processing; Laboratories; Neural networks; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516893

Filename

516893