Impact of near-lossless and lossy coding on information extraction from hyperspectral data

Agnieszka Miguel

doi:10.1117/12.876506

31 January 2011 Impact of near-lossless and lossy coding on information extraction from hyperspectral data

Agnieszka Miguel

Proceedings Volume 7882, Visual Information Processing and Communication II; 788209 (2011) https://doi.org/10.1117/12.876506
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

We study the ability to derive meaningful information from decompressed imaging spectrometer data. Each hyperspectral band is linearly predicted by a previously transmitted band. The residual, formed by subtracting the prediction from the original data is compressed either with a near-lossless bit plane coder or with the lossy JPEG2000 algorithm. We investigate the effects of these two compression methods on hyperspectral image processing using whole- and mixed-pixel analysis techniques. Surprisingly, the lossy coder outperforms near-lossless method in terms of its impact on final hyperspectral data applications.

Citation Download Citation

Agnieszka Miguel "Impact of near-lossless and lossy coding on information extraction from hyperspectral data", Proc. SPIE 7882, Visual Information Processing and Communication II, 788209 (31 January 2011); https://doi.org/10.1117/12.876506

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