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Istituto per il rilevamento elettromagnetico dell'ambiente

Torna all'elenco Contributi in atti di convegno anno 2014

Contributo in atti di convegno

Tipo: Contributo in atti di convegno

Titolo: Hyperdimensional data exploitation through parametric reduction

Anno di pubblicazione: 2014

Formato: Elettronico

Autori: Loredana Pompilio 1, Monica Pepe 2, Gabriele Candiani 2

Affiliazioni autori: 1 DiSPUTer, D'Annunzio University, 66100 Chieti, Italy, loredana.pompilio@unich.it; 2 IREA, National Research Council, 20133 Milano, Italy, pepe.m@irea.cnr.it, candiani.g@irea.cnr.it

Autori CNR:

  • GABRIELE CANDIANI
  • MONICA PIERA LIVIA PEPE
  • LOREDANA POMPILIO

Lingua: inglese

Abstract: Feature reduction of hyperspectral data is a big challenge, particularly because the reduced dimensions must preserve the separability properties and key information content. Nevertheless, various techniques have been developed so far and are well documented in the literature. Here we characterize a novel technique of feature reduction, with main emphasis on the ability of enhancing the informative content of the reduced dataset, for data exploitation purposes. The parametric reduction of hyperspaces using the Exponential Gaussian Optimization (EGO) approach allows the analyst to quickly explore the dataset in terms of the occurrence and properties of the diagnostic features and the local albedo, as well. As a consequence, this technique is able to provide new insights into the accomplishment of the delicate task of hyperspectral classification.

Lingua abstract: inglese

Titolo del volume: Proceedings 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in remote Sensing

Referee: Sė: Internazionale

Congresso nome: 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in remote Sensing

Congresso luogo: Lausanne (Switzerland)

Congresso data: 24-27 June 2014

Congresso rilevanza: Internazionale

Congresso relazione: Contributo

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