Quality Issues for Compression of Hyperspectral Imagery Through Spectrally Adaptive DPCM (Contributo in volume (capitolo o saggio))

Type
Label
  • Quality Issues for Compression of Hyperspectral Imagery Through Spectrally Adaptive DPCM (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-1-4614-1183-3 (literal)
Alternative label
  • Bruno Aiazzi, Luciano Alparone, Stefano Baronti (2011)
    Quality Issues for Compression of Hyperspectral Imagery Through Spectrally Adaptive DPCM
    Springer, New York (Stati Uniti d'America) in Satellite Data Compression, 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bruno Aiazzi, Luciano Alparone, Stefano Baronti (literal)
Pagina inizio
  • 115 (literal)
Pagina fine
  • 147 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Capitolo 6 del Libro. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Satellite Data Compression (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 33 (literal)
Note
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IFAC-CNR, Via Madonna del Piano 10, 50019 Sesto F.no, Italy Department of Electronics & Telecommunications, University of Florence, Via Santa Marta 3, 50139 Florence, Italy IFAC-CNR, Via Madonna del Piano 10, 50019 Sesto F.no, Italy (literal)
Titolo
  • Quality Issues for Compression of Hyperspectral Imagery Through Spectrally Adaptive DPCM (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4614-1182-6 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • B. Huang (literal)
Abstract
  • To meet quality issues of hyperspectral imaging, differential pulse code modulation (DPCM) is usually employed for either lossless or near-lossless data compression, i.e., the decompressed data have a user-defined maximum absolute error, being zero in the lossless case. Lossless compression thoroughly preserves the information of the data but allows a moderate decrement in transmission bit rate. Lossless compression ratios attained even by the most advanced schemes are not very high and usually lower than four. If strictly lossless techniques are not employed, a certain amount of information of the data will be lost. However, such an information may be partly due to random fluctuations of the instrumental noise. The rationale that compression-induced distortion is more tolerable, i.e., less harmful, in those bands, in which the noise is higher, and vice-versa, constitutes the virtually lossless paradigm. (literal)
Editore
Prodotto di
Autore CNR

Incoming links:


Autore CNR di
Prodotto
Editore di
data.CNR.it