Share Email Print

Proceedings Paper

Hyperspectral image lossless compression algorithm based on error compensated prediction tree of multi-band prediction
Author(s): Lang Wang; Shuxu Guo; Lingjia Gu; Ruizhi Ren
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 10 September 2008
PDF: 8 pages
Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 70840K (10 September 2008); doi: 10.1117/12.800363
Show Author Affiliations
Lang Wang, Jilin Univ. (China)
Shuxu Guo, Jilin Univ. (China)
Lingjia Gu, Jilin Univ. (China)
Ruizhi Ren, Jilin Univ. (China)

Published in SPIE Proceedings Vol. 7084:
Satellite Data Compression, Communication, and Processing IV
Bormin Huang; Roger W. Heymann; Joan Serra-Sagristà, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?