Advantages of bidirectional spectral prediction for the reversible compression of multispectral data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 1999, Pages 2043-2045

  Aiazzi, Bruno ^a   Alparone, Luciano ^a   Baronti, Stefano ^a  

^a IFAC CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; IMAGE CODING; IMAGING TECHNIQUES; OPTICAL CORRELATION; REMOTE SENSING; SATELLITES; SIGNAL FILTERING AND PREDICTION;

BIDIRECTIONAL SPECTRAL PREDICTION; MULTISPECTRAL DATA COMPRESSION;

IMAGE COMPRESSION;

EID: 0033310971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. J. Wang, K. Zhang, and S. Tang, “Spectral and spatial decorrelation of Landsat-TM data for lossless compression,” IEEE Trans. Geosci. Remote Sensing, vol. 33, no. 5, pp. 1277-1285,1995.
3. R. E. Roger and M. C. Cavenor, “Lossless compression of AVIRIS images,” IEEE Trans. Image Processing, vol. 5, no. 5, pp. 713-719, 1996.
4. A. K. Rao and S. Bhargava, “Multispectral data compression using bidirectional interband prediction,” IEEE Trans. Geosci. Remote Sensing, vol. 34, no. 2, pp. 385-397,1996.
5. B. Aiazzi, P. S . Alba, L. Alparone, and S. Baronti, “Reversible compression of multispectral imagery through inter-band fuzzy prediction and context coding,” in Proc. IEEE-IGARSS’98, Seattle, WA, 6-10 July 1998, pp.2685-2687.
6. X. Wu and N. Memon, “Context-based, adaptive, lossless image coding,” IEEE Trans. Commun., vol. 45, no. 4, pp. 4374,1997.