Lossy-to-Lossless Compression of Hyperspectral Imagery Using Three-Dimensional TCE and an Integer KLT

被引：35
|
作者：
Zhang, Jing [1 ,2 ]
Fowler, James E. [1 ]
Liu, Guizhong [2 ]
机构：
[1] Mississippi State Univ, Dept Elect & Comp Engn, GRI Mississippi State HPC2, Mississippi State, MS 39762 USA
[2] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2008年 / 5卷 / 04期
关键词：
Hyperspectral compression; integer Karhunen-Loeve transform (KLT); lossy-to-lossless coding; tarp-based coding with classification for embedding (TCE); tarp filtering;
D O I：
10.1109/LGRS.2008.2006571
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
An embedded lossy-to-lossless coder for hyperspectral images is presented. The proposed coder couples a reversible integer-valued Karhunen-Lo ve transform with an extension into 3-D of the tarp-based coding with classification for embedding (TCE) algorithm that was originally developed for lossy coding of 2-D images. The resulting coder obtains lossy-to-lossless operation while closely matching the lossy performance of JPEG2000. Additionally, for lossless compression, it consistently outperforms not only JPEG2000 but, often, several prominent purely lossless methods.
引用
收藏
页码：814 / 818
页数：5
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