| 一种基于预测树的多光谱遥感图像无损压缩方法 |
| |
| 引用本文： | 张荣,阎青,刘政凯.一种基于预测树的多光谱遥感图像无损压缩方法[J].遥感学报,1998,2(3):171-175. |
| |
| 作者姓名： | 张荣 阎青 刘政凯 |
| |
| 作者单位： | 中国科学技术大学电子工程与信息科学系 |
| |
| 摘 要： | 最小绝对权值（ＭＡＷ）预测树方法是一种有效的多光谱遥感图像无损压缩方法，但其中构造预测树的算法复杂，实现困难。本文对预测树方法进行改进，提出一种侧邻域最小绝对权值（ＳＮＭＡＷ）预测树方法，通过改变预测树的四邻域定义，使构造预测树的算法简化，并且，实验结果表明，对不同类型的多光谱遥感图像，ＳＮＭＡＷ的压缩效果与ＭＡＷ的压缩效果相近或有所改善。
|
| 关 键 词： | 无损压缩，预测树，算术编码 |
| 收稿时间： | 1997/10/27 0:00:00 |
| 修稿时间： | 1/8/1998 12:00:00 AM |
A Prediction Tree-based Lossless Compression Technique of Multispectral Image Data |
| |
| Zhang Rong,Yan Qing and Liu Zhengkai.A Prediction Tree-based Lossless Compression Technique of Multispectral Image Data[J].Journal of Remote Sensing,1998,2(3):171-175. |
| |
| Authors: | Zhang Rong Yan Qing and Liu Zhengkai |
| |
| Institution: | Dept. of Elec. Eng. & Info.Sci, Univ. of Sci.& Tech. of China, Hefei,230027;Dept. of Elec. Eng. & Info.Sci, Univ. of Sci.& Tech. of China, Hefei,230027;Dept. of Elec. Eng. & Info.Sci, Univ. of Sci.& Tech. of China, Hefei,230027 |
| |
| Abstract: | Minimum Absolute Weight (MAW) prediction tree technique is one of the efficent lossless compression techniques for multispectral image data, but its algorithm is complex. In this paper we proposed an improved method which changes the definition of the 4-neighborhood model. we call it side neighborhood minimum absolute weight (SNMAW) prediction tree technique. lt can simplify the algorithm and improve the results of lossless compression. |
| |
| Keywords: | Lossless compression Prediction tree Arithmetic coding |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《遥感学报》浏览原始摘要信息 |
| 点击此处可从《遥感学报》下载免费的PDF全文 |
|
