Performance impact of parameter tuning on the CCSDS-123 lossless multi- and hyperspectral image compression standard
Augé, Stanislau (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Sánchez, José Enrique (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Kiely, Aaron (Center for Space Microelectronics Technology (Jet Propulsion Laboratory))
Blanes Garcia, 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:	2013
Abstract:	Multispectral and hyperspectral image data payloads have large size and may be challenging to download from remote sensors. To alleviate this problem, such images can be effectively compressed using specially designed algorithms. The new CCSDS-123 standard has been developed to address onboard lossless coding of multispectral and hyperspectral images. The Standard is based on the Fast Lossless (FL) algorithm, which is composed of a causal context-based prediction stage and an entropy-coding stage that utilizes Golomb power-of-two codes. Several parts of each of these two stages have adjustable parameters. CCSDS-123 provides satisfactory performance for a wide set of imagery acquired by various sensors, but end-users of a CCSDS-123 implementation may require assistance to select a suitable combination of parameters for a specific application scenario. To assist end-users, this paper investigates the performance of CCSDS-123 under different parameter combinations and addresses the selection of an adequate combination given a specific sensor. Experimental results suggest that prediction parameters have a greater impact on the compression performance than entropy-coding parameters.
Grants:	Ministerio de Ciencia e Innovación TIN2009-14426-C02-01 Ministerio de Economía y Competitividad TIN2012-38102-C03-03 Agència de Gestió d'Ajuts Universitaris i de Recerca 2009/SGR-1224
Rights:	Tots els drets reservats.
Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	Remote sensing ; Lossless image coding ; Predictive coding ; Multi-and hyperspectral imagery ; CCSDS 123.0-B-1 ; Configuration parameters
Published in:	Journal of applied remote sensing, Vol. 7, no. 1 (Aug. 2013) , 074594, ISSN 1931-3195

DOI: 10.1117/1.JRS.7.074594

Post-print 17 p, 658.1 KB

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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
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