A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms

@article{Pedergnana2013ANT,
  title={A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms},
  author={Mattia Pedergnana and Prashanth Reddy Marpu and Mauro Dalla Mura and Jon Atli Benediktsson and Lorenzo Bruzzone},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2013},
  volume={51},
  pages={3514-3528}
}
Morphological and attribute profiles have been proven to be effective tools to fuse spectral and spatial information for classification of remote sensing data. A wide range of filters (i.e., number of levels in the profiles) is usually necessary in order to properly model the spatial information in a remote sensing scene. A dense sampling of the values of the parameters of the filters generates profiles that have both a very large dimensionality (leading to the Hughes phenomenon in… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 26 references

Learning with Kernels: support vector machines, regularization, optimization, and beyond

Adaptive computation and machine learning series • 2002
View 11 Excerpts
Highly Influenced

Attribute Openings, Thinnings, and Granulometries

Computer Vision and Image Understanding • 1996
View 5 Excerpts
Highly Influenced

Random Forests

Machine Learning • 2001
View 4 Excerpts
Highly Influenced

Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques

P. R. Marpu, M. Pedergnana, +3 authors L. Bruzzone
Int. J. Image Data Fusion, vol. 3, no. 3, pp. 269–298, 2012. • 2012
View 1 Excerpt

Decision fusion of multiple classifiers for hyperspectral data classification

K. Bakos, P. R. Marpu, P. Gamba
Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques, S. Prasad, L. M. Bruce, and J.Chanussot, Eds., 1st ed. New York: Springer-Verlag, 2011, ser. Augmented Vision and Reality Series. • 2011
View 2 Excerpts

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