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Proceedings Paper

Development of the hyperspectral image decorrelation
Author(s): Hai-ping Wai; Bao-jun Zhao; Pei-kun He
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Paper Abstract

The hyperspectral imaging spectrometer can supply hundreds of narrow band spectral data, which has high spatial and spectral resolution, and meanwhile the amount of data becomes huge. Therefore, the efficient compression algorithms become necessary. According to the characteristics of hyperspectral images, spatial and spectral decorrelation is necessary before compression. In this paper, the characteristics of hyperspectral images are presented firstly. Secondly, the research on hyperspectral image decorrelation is summarized. Techniques based on prediction, techniques based on vector quantization, and techniques based on transform coding are presented here. Finally, the future development is referred.

Paper Details

Date Published: 5 March 2008
PDF: 9 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662315 (5 March 2008); doi: 10.1117/12.791495
Show Author Affiliations
Hai-ping Wai, Beijing Institute of Technology (China)
Bao-jun Zhao, Beijing Institute of Technology (China)
Pei-kun He, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing

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