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
收藏
页码：93 / 101
页数：9
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