Hyperspectral image lossless compression algorithm based on error compensated prediction tree of multi-band prediction

Lang Wang; Shuxu Guo; Lingjia Gu; Ruizhi Ren

doi:10.1117/12.800363

10 September 2008 Hyperspectral image lossless compression algorithm based on error compensated prediction tree of multi-band prediction

Lang Wang, Shuxu Guo, Lingjia Gu, Ruizhi Ren

Author Affiliations +

Proceedings Volume 7084, Satellite Data Compression, Communication, and Processing IV; 70840K (2008) https://doi.org/10.1117/12.800363
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

A new lossless compression method based on prediction tree with error compensation for hyperspectral imagery is proposed in this paper. This method incorporates the techniques of prediction tree and adaptive band prediction. The proposed method is different from previous similar approaches in that its prediction to the current band is performed by multiple bands and the error created by the prediction tree is compensated by a linear adaptive predictor for decorrelating spectral statistical redundancy. After de-correlating intraband and interband redundancy, the SPIHT (Set Partitioning in Hierarchical Trees) wavelet coding is used to encode the residual image. The proposed method achieves high compression ratio on the NASA JPL AVIRIS data.

Citation Download Citation

Lang Wang, Shuxu Guo, Lingjia Gu, and Ruizhi Ren "Hyperspectral image lossless compression algorithm based on error compensated prediction tree of multi-band prediction", Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 70840K (10 September 2008); https://doi.org/10.1117/12.800363

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