Hyperspectral passive satellite imaging via compressive sensing (HPSI-CS) (Progetti)

Type
Label
  • Hyperspectral passive satellite imaging via compressive sensing (HPSI-CS) (Progetti) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Alessandro Barducci, Ivan Pippi, Donatella Guzzi, Enrico Magli, Mauro Barni (2012)
    Hyperspectral passive satellite imaging via compressive sensing (HPSI-CS)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Alessandro Barducci, Ivan Pippi, Donatella Guzzi, Enrico Magli, Mauro Barni (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Progetto ESA ITI-B (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IFAC-CNR Politecnico di Torino Università di Siena DII (literal)
Titolo
  • Hyperspectral passive satellite imaging via compressive sensing (HPSI-CS) (literal)
Descrizione sintetica
  • According to recent research findings, signal acquisition can be performed at sampling frequencies far below the minimal frequency dictated by Shannon`s theorem, a concept called \"compressive sampling\" (CS). This technique can be applied to signals that exhibit some correlation, a feature indicated as sparsity. CS brings many potential advantages to hyperspectral satellite imaging, since high spectral/spatial resolution can be reached with fewer detectors, lower memory capacity, and narrower down-link bandwidth. This project addresses the feasibility and essential technology features of CS as applied to Earth Observation. The following issues will be investigated: development of high frame-rate electro-optical light modulators, adaptation of high-frequency light detectors, quality of reconstructed images, and corresponding reconstruction algorithms. A laboratory test-bed will be set up and used to test the CS technology. (literal)
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