Hyperspectral image lossless compression based on prediction tree algorithm

被引：0

作者：

Liu, HS ^{[1
]}

Huang, LQ ^{[1
]}

机构：

[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130022, Peoples R China

来源：

IMAGE PROCESSING AND PATTERN RECOGNITION IN REMOTE SENSING | 2003年 / 4898卷

关键词：

hyperspectral image; image compression; lossless compression; algorithm;

D O I：

10.1117/12.468640

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：93 / 101

页数：9