http://www.cnr.it/ontology/cnr/individuo/prodotto/ID135024

Near-Lossless Compression of Remote-Sensing Data (Contributo in volume (capitolo o saggio))

Type

Label

Near-Lossless Compression of Remote-Sensing Data (Contributo in volume (capitolo o saggio)) (literal)

Anno

Alternative label

Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Cinzia Lastri (2003)
Near-Lossless Compression of Remote-Sensing Data
World Scientific Publ. Co., Singapore (Singapore) in Frontiers of Remote Sensing Information Processing, 2003
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Pagina inizio

Pagina fine

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://books.google.it/books?hl=it&lr=&id=ezZatqVYUSoC&oi=fnd&pg=PA3&dq=Near-lossless+compression+of+remote+sensing+data+frontiers+of+remote+sensing+information+processing&ots=8yHEbI1ilV&sig=jIHlmj-w38_2bcfySHju8qwUfto#v=onepage&q&f=false (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

IFAC-CNR: Institute of Applied Physics \"N. Carrara\", National Research Council, Via Panciatichi, 64, I-50127 Florence, Italy DET: Department of Electronics & Telecommunications, University of Florence, Via Santa Marta, 3, I-50139 Florence, Italy IFAC-CNR: Institute of Applied Physics \"N. Carrara\", National Research Council, Via Panciatichi, 64, I-50127 Florence, Italy IFAC-CNR: Institute of Applied Physics \"N. Carrara\", National Research Council, Via Panciatichi, 64, I-50127 Florence, Italy (literal)

Titolo

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

Abstract

This paper describes data compression algorithms capable to preserve the scientific quality of remote-sensing data, yet allowing a considerable bandwidth reduction to be achieved. Unlike lossless techniques, by which a moderate compression ratio (CR) is attainable, due to the intrinsic noisiness of the data, and conventional lossy techniques, in which the mean square error of the decoded data is globally controlled by the user, near-lossless methods are capable to locally constrain the maximum error, either absolute or relative, based on the user's requirements. Advanced near-lossless methods rely on differential pulse code modulation (DPCM) schemes, based on either prediction or interpolation. The latter is recommended for lower quality compression (i.e. higher CR), the former for higher-quality, which is the primary concern in remote sensing applications. Experimental results of near-lossless compression of multispectral, hyperspectral, and microwave data from coherent imaging systems, like synthetic aperture radar (SAR), show the advantages of the proposed approach compared to standard lossy techniques. (literal)

Editore