Web of Science: 56 cites, Scopus: 72 cites, Google Scholar: cites
A Tutorial on image compression for optical space imaging systems
Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Magli, Enrico (Politecnico di Torino. Dipartimento di Elettronica e Telecomunicazioni)
Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Data: 2014
Resum: Abstract-Public policies and private initiatives share the will to explore outer space and to monitor the Earth from space sensors. Recent years have seen an increased number of space missions, while the sensors on board aircrafts or spacecrafts have also significantly improved their acquisition capabilities. Given this huge volume of remote sensing data and the detailed characteristics of the acquired images, a data compression process is in order to allow as large a transmission rate as possible. In this paper we provide an overview of several standards for remote sensing data compression, notably of those recently approved by the Consultative Committee for Space Data Systems, although the use of other ISO/IEC image coding standards is also dealt with. Discussion embraces both mono band and multi band compression, and lossless, lossy and near-lossless compression. Illustrative results are reported for a set of AVIRIS and Hyperion images, indicating that exploiting the spectral correlation -either in prediction-based or in transform-based schemes- is paramount to achieve improved coding performance.
Nota: Número d'acord de subvenció MINECO/TIN2012-38102-C03-03
Nota: Número d'acord de subvenció EC/H2020/107104
Nota: Número d'acord de subvenció AGAUR/2014/SGR-691
Drets: Tots els drets reservats
Llengua: Anglès
Document: article ; recerca ; acceptedVersion
Matèria: Image compression ; Multispectral and hyperspectral images ; CCSDS ; Prediction ; Transform coding ; DPCM ; Rate control
Publicat a: IEEE geoscience and remote sensign magazine, Vol. 2, Issue 3 (Sept. 2014) , p. 8-26, ISSN 2168-6831

DOI: 10.1109/MGRS.2014.2352465

16 p, 1.1 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Enginyeries > Group on Interactive Coding of Images (GICI)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2015-02-27, darrera modificació el 2020-11-21

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