1. Development of the hyperspectral image decorrelation
- Author
-
Pei-kun He, Hai-ping Wai, and Bao-jun Zhao
- Subjects
Geography ,business.industry ,Full spectral imaging ,Vector quantization ,Hyperspectral imaging ,Computer vision ,Image processing ,Artificial intelligence ,Quantization (image processing) ,business ,Decorrelation ,Image compression ,Data compression - 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.
- Published
- 2007
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