http://www.cnr.it/ontology/cnr/individuo/prodotto/ID186770
Information preserving storage of remote sensing data: virtually lossless compression of optical and SAR images (Contributo in atti di convegno)
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- Information preserving storage of remote sensing data: virtually lossless compression of optical and SAR images (Contributo in atti di convegno) (literal)
- Anno
- 2000-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/IGARSS.2000.859672 (literal)
- Alternative label
Bruno Aiazzi; Luciano Alparone; Stefano Baronti (2000)
Information preserving storage of remote sensing data: virtually lossless compression of optical and SAR images
in IEEE IGARSS 2000, IEEE 2000 International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA, 24-28 Luglio 2000
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bruno Aiazzi; Luciano Alparone; Stefano Baronti (literal)
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- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=859672 (literal)
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- Proceedings of IEEE IGARSS 2000: Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy
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 (literal)
- Titolo
- Information preserving storage of remote sensing data: virtually lossless compression of optical and SAR images (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Abstract
- We propose near-lossless compression, i.e., strictly bounded absolute reconstruction error, for remote sensing images. First, a classified DPCM scheme is presented for optical data. Then, an original approach to near-lossless compression of SAR images is presented, that is based on the Rational Laplacian Pyramid (RLP). 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 pixel ratio of original to decoded image can be strictly bounded by the quantization step size of the bottom layer of RLP. The steps on the other layers are arbitrary because of the quantization noise feedback loops at the encoder. If reconstruction errors fall within the boundaries of the noise distributions, either thermal noise, or speckle, the decoded images will be virtually lossless, even though their encoding was not strictly reversible. (literal)
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