FAPEC-based lossless and lossy hyperspectral data compression

被引：1

作者：

Portell, Jordi ^{[1
,2
]}

Artigues, Gabriel ^{[2
]}

Iudica, Riccardo ^{[1
,2
]}

Garcia Berro, Enrique ^{[2
,3
]}

机构：

[1] Univ Barcelona IEEC UB, Inst Ciencies Cosmos ICCUB, Dept Astron & Meteorol, E-08028 Barcelona, Spain

[2] Inst Space Studies Catalonia, Barcelona 08034, Spain

[3] Univ Politecn Cataluna, Dept Fis Aplicada, Castelldefels 08860, Spain

来源：

HIGH-PERFORMANCE COMPUTING IN REMOTE SENSING V | 2015年 / 9646卷

关键词：

FAPEC; data compression; hyperspectral; lossless; lossy; prediction; DWT; HPA;

D O I：

10.1117/12.2195033

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Data compression is essential for remote sensing based on hyperspectral sensors owing to the increasing amount of data generated by modern instrumentation. CCSDS issued the 123.0 standard for lossless hyperspectral compression, and a new lossy hyperspectral compression recommendation is being prepared. We have developed multispectral and hyperspectral pre-processing stages for FAPEC, a data compression algorithm based on an entropy coder. We can select a prediction-based lossless stage that offers excellent results and speed. Alternatively, a DWT-based lossless and lossy stage can be selected, which offers excellent results yet obviously requiring more compression time. Finally, a lossless stage based on our HPA algorithm can also be selected, only lossless for now but with the lossy option in preparation. Here we present the overall design of these data compression systems and the results obtained on a variety of real data, including ratios, speed and quality.

引用

页数：9

共 8 条

[1]

Artigues G., 2013, J APPL REMOTE SENS, V7

[2]

*CONS COMM SPAC DA, 1993, 1210B1 CCSDS

[3]

*CONS COMM SPAC DA, 2005, 1220B1 CCSDS

[4] Image data compression with hierarchical pixel averaging and fully adaptive prediction error coder [J].

Iudica, Riccardo ;

Artigues, Gabriel ;

Portell, Jordi ;

Garcia-Berro, Enrique .

JOURNAL OF APPLIED REMOTE SENSING, 2015, 9

[5]

Portell J., 2010, J APPL REMOTE SENS, V4, P339

[6]

Sanchez Jose Enrique, 2011, 2011 First International Conference on Data Compression, Communications and Processing, P222, DOI 10.1109/CCP.2011.17

[7]

The Consultative Committee for Space Data Systems, 2012, 1230B1 CCSDS

[8]

Villafranca A. G., 2010, 2010 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2010), P164, DOI 10.1109/AHS.2010.5546264

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