Hyperspectral Image Lossless Compression Algorithm Based on Multi-band Prediction

Sun Lei; Luo Jian-shu

doi:10.3724/SP.J.1146.2006.00453

Volume 29 Issue 12

Jan. 2011

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Sun Lei, Luo Jian-shu. Hyperspectral Image Lossless Compression Algorithm Based on Multi-band Prediction[J]. Journal of Electronics & Information Technology, 2007, 29(12): 2876-2879. doi: 10.3724/SP.J.1146.2006.00453

Citation:

Sun Lei, Luo Jian-shu. Hyperspectral Image Lossless Compression Algorithm Based on Multi-band Prediction[J]. Journal of Electronics & Information Technology, 2007, 29(12): 2876-2879. doi: 10.3724/SP.J.1146.2006.00453

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Hyperspectral Image Lossless Compression Algorithm Based on Multi-band Prediction

doi: 10.3724/SP.J.1146.2006.00453

Received Date: 2006-04-10
Rev Recd Date: 2006-09-21
Publish Date: 2007-12-19

Abstract

Abstract

A hyperspectral image lossless compression algorithm based on multi-band prediction is proposed in this paper. Considering that as the spectral resolution of hyperspectral images increases, its spectral correlation becomes more and more significant, a group of prediction coefficients are derived, which are able to make use of multi-band to predict the current band linearly. And then a fast algorithm is given to solve the coefficients of the predictor. Experiments show that, with AVIRIS, the ratio of the algorithm is competitive and it runs fast, so it works efficiently in practice.

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References

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