article · Key engineering materials · 2012
Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection
Farhad Samadzadegan, Shahin Rahmatollahi Namin, Mohammad Rajabi
Cited by 1Abstract and details only
Abstract
The great number of captured near spectral bands in hyperspectral images causes the curse of dimensionality problem and results in low classification accuracy. The feature selection algorithms try to overcome this problem by limiting the input space dimensions of classification for hyperspectral images. In this paper, immune clonal selection optimization algorithm is used for feature selection. Also one of the fastest Artificial Immune classification algorithms is used to compute fitness function of the feature selection. The comparison of the feature selection results with genetic algorithm shows the clonal selection’s higher performance to solve selection of features.
Cite this paper
Samadzadegan, F., Namin, S. R., & Rajabi, M. (2012). Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection. Key engineering materials, 500, 799–805. https://doi.org/10.4028/www.scientific.net/kem.500.799
Samadzadegan, Farhad, et al. “Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection.” Key engineering materials, vol. 500, 2012, pp. 799–805, https://doi.org/10.4028/www.scientific.net/kem.500.799.
Samadzadegan, Farhad, Shahin Rahmatollahi Namin, and Mohammad Rajabi. 2012. “Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection.” Key engineering materials 500: 799–805. https://doi.org/10.4028/www.scientific.net/kem.500.799.
Samadzadegan, F., Namin, S.R. and Rajabi, M. (2012) ‘Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection’, Key engineering materials, 500, pp. 799–805. Available at: https://doi.org/10.4028/www.scientific.net/kem.500.799.
@article{samadzadegan2012evaluating,
title = {{Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection}},
author = {Samadzadegan, Farhad and Namin, Shahin Rahmatollahi and Rajabi, Mohammad},
journal = {Key engineering materials},
volume = {500},
pages = {799--805},
year = {2012},
doi = {10.4028/www.scientific.net/kem.500.799}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.