FAPEC-based lossless and lossy hyperspectral data compression

Jordi Portell; Gabriel Artigues; Riccardo Iudica; Enrique García-Berro

doi:10.1117/12.2195033

20 October 2015 FAPEC-based lossless and lossy hyperspectral data compression

Jordi Portell, Gabriel Artigues, Riccardo Iudica, Enrique García-Berro

Proceedings Volume 9646, High-Performance Computing in Remote Sensing V; 96460D (2015) https://doi.org/10.1117/12.2195033
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

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.

Citation Download Citation

Jordi Portell, Gabriel Artigues, Riccardo Iudica, and Enrique García-Berro "FAPEC-based lossless and lossy hyperspectral data compression", Proc. SPIE 9646, High-Performance Computing in Remote Sensing V, 96460D (20 October 2015); https://doi.org/10.1117/12.2195033

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