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Article

Performance Impact of Parameter Tuning on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard

1
Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Campus UAB, 08193 Cerdanyola del Vallès, Spain
2
NASA Jet Propulsion Laboratory (JPL), California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in The 6th ESA/CNES International Workshop on On-Board Payload Data Compression.
Remote Sens. 2019, 11(11), 1390; https://0-doi-org.brum.beds.ac.uk/10.3390/rs11111390
Received: 11 April 2019 / Revised: 1 June 2019 / Accepted: 6 June 2019 / Published: 11 June 2019
(This article belongs to the Special Issue Remote Sensing Data Compression)
This article studies the performance impact related to different parameter choices for the new CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression standard. This standard supersedes CCSDS-123.0-B-1 and extends it by incorporating a new near-lossless compression capability, as well as other new features. This article studies the coding performance impact of different choices for the principal parameters of the new extensions, in addition to reviewing related parameter choices for existing features. Experimental results include data from 16 different instruments with varying detector types, image dimensions, number of spectral bands, bit depth, level of noise, level of calibration, and other image characteristics. Guidelines are provided on how to adjust the parameters in relation to their coding performance impact. View Full-Text
Keywords: on-board data compression; CCSDS 123.0-B-2; near-lossless hyperspectral image compression on-board data compression; CCSDS 123.0-B-2; near-lossless hyperspectral image compression
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MDPI and ACS Style

Blanes, I.; Kiely, A.; Hernández-Cabronero, M.; Serra-Sagristà, J. Performance Impact of Parameter Tuning on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard. Remote Sens. 2019, 11, 1390. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11111390

AMA Style

Blanes I, Kiely A, Hernández-Cabronero M, Serra-Sagristà J. Performance Impact of Parameter Tuning on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard. Remote Sensing. 2019; 11(11):1390. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11111390

Chicago/Turabian Style

Blanes, Ian, Aaron Kiely, Miguel Hernández-Cabronero, and Joan Serra-Sagristà. 2019. "Performance Impact of Parameter Tuning on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard" Remote Sensing 11, no. 11: 1390. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11111390

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