学术
国际标准刊号：ISSN 1001-2486
国内统一刊号：CN 81-1067
摘 要:
数据压缩是高光谱图像处理应用中的一个关键问题。在分析高光谱数据相关性特点的基础上,提出了一种方向可选的多预测器数据压缩框架。将新的框架应用于单波段和多波段的预测压缩方案,分别得到复杂性不同的两种无损压缩流程。计算机仿真结果表明了该框架的有效性。[著者文摘]
文章出处:
《国防科技大学学报》-2007年29卷1期 -44-48页
Journal of National University of Defense Technology
栏目信息:
文献标识码:
A
文章编号:
1001-2486（2007）01-0044-05
[参考文献]
Lossless Compression of Hyperspectral Images Based on Multi-predictors
SU Ling-hua, LV Shao-yu, WAN Jian-wei （College of Electronic Science and Engineering , National Univ. of Defense Technology, Changsha 4113073, China）
Abstract:
Data compression is a key problem in the applications of hyperspectral images. Based on the con＇elation analysis of hyperspectral data, a multi-predictors compression scheme of hyperspectral images was presented. The new scheme was applied to single band and multi bands prediction. Two lossless compression methyls with different complexity were achieved. Simulation results verify the effectiveness of the scheme.[著者文摘]
Key words:
hyperspectral image; multi predictors; cluster; prediction; lossless compression
收稿日期: 2006-07-23
基金资助:
国家部委基金资助项目（41321090202）
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