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Proceedings Paper

Impact of near-lossless and lossy coding on information extraction from hyperspectral data
Author(s): Agnieszka Miguel
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Paper 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.

Paper Details

Date Published: 31 January 2011
PDF: 8 pages
Proc. SPIE 7882, Visual Information Processing and Communication II, 788209 (31 January 2011); doi: 10.1117/12.876506
Show Author Affiliations
Agnieszka Miguel, Seattle Univ. (United States)

Published in SPIE Proceedings Vol. 7882:
Visual Information Processing and Communication II
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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