Nonlinear Method of Reduction of Dimensionality Based on Artificial Neural Network and Hardware Implementation

J. R. G. Braga (), V. C. Gomes (), E. H. Shiguemori (), H. F. C. Velho (), A. Plaza () and J. Plaza ()
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J. R. G. Braga: National Institute for Space Research
V. C. Gomes: Department of Science and Aerospace Technology
E. H. Shiguemori: Department of Science and Aerospace Technology
H. F. C. Velho: National Institute for Space Research
A. Plaza: University of Extremadura
J. Plaza: University of Extremadura

Chapter Chapter 6 in Integral Methods in Science and Engineering, 2015, pp 69-79 from Springer

Abstract: 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.

Keywords: Reduction of Dimensionality; Artificial Neural Network; Field Programmable Gate Array (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-16727-5_6

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DOI: 10.1007/978-3-319-16727-5_6

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