JOURNAL ARTICLE

FAPEC-based lossless and lossy hyperspectral data compression

J. PortellGabriel ArtiguesRiccardo IudicaE. Garcı́a–Berro

Year: 2015 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 9646 Pages: 96460D-96460D   Publisher: SPIE

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.

Keywords:
Lossy compression Lossless compression Hyperspectral imaging Data compression Computer science Data compression ratio Image compression Remote sensing Algorithm Artificial intelligence Image processing Geography

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Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Error Correcting Code Techniques
Physical Sciences →  Computer Science →  Computer Networks and Communications
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