Lossless Compression of Hyperspectral Images Based on Searching Optimal Multibands for Prediction

被引：17

作者：

Huo, Chengfu ^{[1
]}

Zhang, Rong ^{[1
]}

Peng, Tianxiang ^{[1
]}

机构：

[1] Univ Sci & Technol China, Hefei 230027, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2009年 / 6卷 / 02期

关键词：

Couple-group manner; hyperspectral images; searching model; tree structure; LOOKUP TABLES;

D O I：

10.1109/LGRS.2008.2012135

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：

This letter presents a lossless compression algorithm for hyperspectral images, which is based on the strength of correlations between bands. First, a searching model is constructed using the tree structure. Second, multibands which have strong correlations to each chosen band are found out and are then used to predict the chosen band in a couple-group manner. Lastly, residual images are encoded using entropy coders. Experimental results show that our compression algorithm provides a competitive compression performance compared with most existing compression algorithms.

引用

页码：339 / 343

页数：5

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