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

Authors :
Blanes, Ian
Kiely, Aaron
Hernández-Cabronero, Miguel
Serra-Sagristà, Joan
Source :
Remote Sensing. Jun2019, Vol. 11 Issue 11, p1390-1390. 1p.
Publication Year :
2019

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
11
Issue :
11
Database :
Academic Search Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
136945133
Full Text :
https://doi.org/10.3390/rs11111390