| 引用本文: | 苏令华,吕韶昱,万建伟.基于多预测器的高光谱图像无损压缩.[J].国防科技大学学报,2007,29(1):44-48.[点击复制] |
| SU Linghua,LV Shaoyu,WAN Jianwei.Lossless Compression of Hyperspectral Images Based on Multi-predictors[J].Journal of National University of Defense Technology,2007,29(1):44-48[点击复制] |
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| 基于多预测器的高光谱图像无损压缩 |
| 苏令华, 吕韶昱, 万建伟 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 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。 |
| 关键词: 高光谱图像 多预测器 聚类 预测 无损压缩 |
| DOI： |
| 投稿日期：2006-07-23 |
| 基金项目:国家部委基金资助项目(41321090202) |
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| Lossless Compression of Hyperspectral Images Based on Multi-predictors |
| SU Linghua, LV Shaoyu, WAN Jianwei |
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(College of Electronic Science and Engineering , National Univ. of Defense Technology, Changsha 410073，China)
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| Abstract: |
| Data compression is a key problem in the applications of hyperspectral images. Based on the correlation 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 methods with different complexity were achieved. Simulation results verify the effectiveness of the scheme. |
| Keywords: hyperspectral image multi predictors cluster prediction lossless compression |
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