Lossless Compression of Hyperspectral ImagesBased on Multi-predictors
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Abstract:
Data compression is a key problem in the applications of hyperspectral images. Based on the correlation analysis of hyperspectral data, a multi-predictors compression scheme of hyperspectral images was presented. The new scheme was applied to single band and multi bands prediction. Two lossless compression methods with different complexity were achieved. Simulation results verify the effectiveness of the scheme.
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SU Linghua, LV Shaoyu, WAN Jianwei. Lossless Compression of Hyperspectral ImagesBased on Multi-predictors[J]. Journal of National University of Defense Technology,2007,29(1):44-48.