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
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI, USA
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006239
