Development of the hyperspectral image decorrelation

Hai-ping Wai; Bao-jun Zhao; Pei-kun He

doi:10.1117/12.791495

5 March 2008 Development of the hyperspectral image decorrelation

Hai-ping Wai, Bao-jun Zhao, Pei-kun He

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 662315 (2008) https://doi.org/10.1117/12.791495
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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.

Citation Download Citation

Hai-ping Wai, Bao-jun Zhao, and Pei-kun He "Development of the hyperspectral image decorrelation", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662315 (5 March 2008); https://doi.org/10.1117/12.791495

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