Analysis of variable-length codes for integer encoding in hyperspectral data compression with the k2-raster compact data structure
Chow, Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Tzamarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Blanes, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Date:	2020
Abstract:	This paper examines the various variable-length encoders that provide integer encoding to hyperspectral scene data within a k-raster compact data structure. This compact data structure leads to a compression ratio similar to that produced by some of the classical compression techniques. This compact data structure also provides direct access for query to its data elements without requiring any decompression. The selection of the integer encoder is critical for obtaining a competitive performance considering both the compression ratio and access time. In this research, we show experimental results of different integer encoders such as Rice, Simple9, Simple16, PForDelta codes, and DACs. Further, a method to determine an appropriate k value for building a k-raster compact data structure with competitive performance is discussed.
Grants:	European Commission 801370 Generalitat de Catalunya 2017/SGR-463 Generalitat de Catalunya 2018/BP-00008 Agencia Estatal de Investigación RTI2018-095287-B-I00 Ministerio de Economía y Competitividad TIN2015-71126-R Agencia Estatal de Investigación BES-2016-078369
Note:	This research was funded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund under Grants RTI2018-095287-B-I00 and TIN2015-71126-R (MINECO/FEDER, UE) and BES-2016-078369 (Programa Formaci?n de Personal Investigador), by the Catalan Government under Grant 2017SGR-463, by the postdoctoral fellowship program Beatriu de Pin?s, Reference 2018-BP-00008, funded by the Secretary of Universities and Research (Government of Catalonia), and by the Horizon 2020 program of research and innovation of the European Union under the Marie Sk?odowska-Curie Grant Agreement #801370.
Note:	Funding: This research was funded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund under Grants RTI2018-095287-B-I00 and TIN2015-71126-R (MINECO/FEDER, UE) and BES-2016-078369 (Programa Formaci\u00F3n de Personal Investigador), by the Catalan Government under Grant 2017SGR-463, by the postdoctoral fellowship program Beatriu de Pin\u00F3s, Reference 2018-BP-00008, funded by the Secretary of Universities and Research (Government of Catalonia), and by the Horizon 2020 program of research and innovation of the European Union under the Marie Sk\u0142odowska-Curie Grant Agreement #801370.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Published in:	Remote sensing (Basel), Vol. 12, Num. 12 (June 2020) , art. 1983, ISSN 2072-4292

DOI: 10.3390/rs12121983

17 p, 1.2 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > Group on Interactive Coding of Images (GICI)
Articles > Research articles
Articles > Published articles