Abstract
Hyper-spectral images present new applications, but they represent new challenges: data high dimension is one of them. Thus, it is important to develop new techniques for reducing the dimensionality of the data without loss of information. Therefore in this chapter, we conducted tests on a new dimensionality reduction method of data as well as its implementation in hardware.
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Notes
- 1.
VHDL: VHSIC (Very High Speed Integrated Circuits) Hardware Description Language.
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Braga, J.R.G., Gomes, V.C., Shiguemori, E.H., Velho, H.F.C., Plaza, A., Plaza, J. (2015). Nonlinear Method of Reduction of Dimensionality Based on Artificial Neural Network and Hardware Implementation. In: Constanda, C., Kirsch, A. (eds) Integral Methods in Science and Engineering. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-16727-5_6
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DOI: https://doi.org/10.1007/978-3-319-16727-5_6
Publisher Name: Birkhäuser, Cham
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