DocumentCode
1651904
Title
Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach
Author
De Falco, I. ; Tarantino, E. ; Della Cioppa, A.
Author_Institution
ISPAIM, Nat. Res. Council of Italy, Naples, Italy
Volume
1
fYear
2002
Firstpage
231
Abstract
An innovative approach to spectral pattern recognition for multispectral images based on genetic programming is introduced. The problem is faced in terms of unsupervised pixel classification. The system is tested on a multispectral image with 31 spectral bands and 256-256 pixels. A good quality clustered output image is obtained.
Keywords
genetic algorithms; pattern recognition; unsupervised learning; clustered output image; genetic programming; genetic programming approach; multispectral images; unsupervised pixel classification; unsupervised spectral pattern recognition; Councils; Digital images; Genetic programming; Image analysis; Multispectral imaging; Pattern recognition; Pixel; Remote monitoring; Water pollution; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI, USA
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006239
Filename
1006239
Link To Document