Improved M-NVQ algorithm for the compression of hyperspectral data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2000, Pages 600-602

  Ryan, Michael J ^a   Pickering, Mark R ^a  

^a School of Engineering and Information Technology   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE COSINE TRANSFORM (DCT) METHODS; HYPERSPECTRAL IMAGES; MEAN-NORMALIZED VECTOR QUANTIZATION (M-NVQ);

ALGORITHMS; COSINE TRANSFORMS; DATA STRUCTURES; MULTISPECTRAL SCANNERS; OPTIMIZATION; VECTOR QUANTIZATION;

REMOTE SENSING;

EID: 0034543695     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. M. Ryan and J. Arnold, "Lossy compression of hyperspectral data using vector quantization", Remote Sens. Environ., vol. 61, no. 3, pp. 419-436, September 1997.
2. M. Ryan and J. Arnold, "The lossless compression of AVIRIS images by vector quantisation", IEEE Transactions on Geoscience and Remote Sensing, vol. 35, no. 3, pp. 546-550, May 1997.
3. D. Landgrebe and L. Biehl, An introduction to Multispec, Version 2.15.95, School of Electrical Engineering, Purdue University, West Lafayette, IN.
4. ISO/IEC International Standard 10918-1, Digital compression and coding of continuous-tone still images.