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Proceedings Paper

Hyperspectral image lossless compression based on prediction tree algorithm
Author(s): HengShu Liu; LianQing Huang
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Paper Abstract

A new hyperspectral image compression algorithm-NMST (Near Min Spanning Tree) is proposed. The near minimum spanning tree is constructed according to the image structure and is taken as a prediction tree in image compression. The result shows the NMST algorithm can improve the compression speed with little decrease of compression ratio.

Paper Details

Date Published: 11 June 2003
PDF: 9 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.468640
Show Author Affiliations
HengShu Liu, Changchun Institute of Optics, Fine Mechanics, and Physics (China)
LianQing Huang, Changchun Institute of Optics, Fine Mechanics, and Physics (China)


Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

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