Hyperspectral image lossless compression based on prediction tree algorithm

HengShu Liu; LianQing Huang

doi:10.1117/12.468640

11 June 2003 Hyperspectral image lossless compression based on prediction tree algorithm

HengShu Liu, LianQing Huang

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.468640
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

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.

Citation Download Citation

HengShu Liu and LianQing Huang "Hyperspectral image lossless compression based on prediction tree algorithm", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.468640

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