Quality issues in remote-sensing image compression: near-lossless coding of optical and microwave data (Contributo in atti di convegno)

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  • Quality issues in remote-sensing image compression: near-lossless coding of optical and microwave data (Contributo in atti di convegno) (literal)
Anno
  • 2001-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.413916 (literal)
Alternative label
  • Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Leonardo Santurri (2001)
    Quality issues in remote-sensing image compression: near-lossless coding of optical and microwave data
    in SPIE Remote Sensing 2000: Image and Signal Processing for Remote Sensing VI, Barcellona, Spagna, 25-29 Settembre 2000
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Leonardo Santurri (literal)
Pagina inizio
  • 226 (literal)
Pagina fine
  • 237 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://spiedigitallibrary.org/proceedings/resource/2/psisdg/4170/1/226_1?isAuthorized=no (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of SPIE EUROPTO Series, SPIE Remote Sensing 2000: Image and Signal Processing for Remote Sensing VI (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 4170 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 4170 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy DET - Department of Electronics and Telecommunications, University of Florence, Via Santa Marta, 3, I-50139 Firenze, Italy \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy (literal)
Titolo
  • Quality issues in remote-sensing image compression: near-lossless coding of optical and microwave data (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 0-8194-3826-X (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • S. B. Serpico (literal)
Abstract
  • In this work, near-lossless compression, i.e., yielding strictly bounded reconstruction error, is proposed for high-quality compression of remote sensing images. First, a classified causal DPCM scheme is presented for optical data, either multi/hyperspectral (3D), or panchromatic (2D) observations. It is based on a classified linear-regression prediction, followed by context-based arithmetic coding of the outcome prediction errors, and provides excellent performances, both for reversible and for irreversible, i.e., near-lossless, compression. Coding time are affordable thanks to fast convergence of training. Decoding is always performed in real time. Then, an original approach to near-lossless compression of SAR images that is based on the Rational Laplacian Pyramid (RLP) is presented. The baseband icon of the RLP is DPCM encoded, the intermediate layers are uniformly quantized, and the bottom layer is is logarithmically quantized. As a consequence, the relative error, i.e., pixel ratio of original to decoded image, can be strictly bounded by the quantization step size of the bottom layer of RLP. The step sizes on the other layers are chosen as minimizing the bit rate for a given distortion, by exploiting the quantization noise feedback loops at the encoder. In both cases, if the reconstruction errors fall within the boundaries of the noise distributions, either digitization noise, or speckle, the decoded images will be virtually lossless, even though their encoding is not strictly reversible. (literal)
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