| 遥感图像压缩技术的研究 |
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| 引用本文： | 刘海山,郎柏林,张健.遥感图像压缩技术的研究[J].测绘与空间地理信息,2008,31(2):123-126. |
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| 作者姓名： | 刘海山 郎柏林 张健 |
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| 作者单位： | 齐齐哈尔市勘察测绘研究院,黑龙江,齐齐哈尔,161000 |
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| 摘 要： | 针对GIS灰度遥感图像的特点,以香农无干扰编码定理为依据,提出了四叉树—算术编码,实验证明,本文采用的将遥感图像降熵与四叉树-算术编码相结合的压缩编码技术,在提高了图像压缩比的同时,基本保留了遥感图像丰富的几何信息,符合GIS应用的要求,是一种有效的压缩处理方法。
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| 关 键 词： | GIS图像压缩 四叉树—算术编码 图像重建 刀刃曲线 压缩比 |
| 文章编号： | 1672-5867(2008)02-0123-03 |
| 修稿时间： | 2007年3月30日 |
Research on Remote Sensing Image Compression Technology |
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| LIU Hai-shan,LANG Bai-lin,ZHANG Jian.Research on Remote Sensing Image Compression Technology[J].Geomatics & Spatial Information Technology,2008,31(2):123-126. |
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| Authors: | LIU Hai-shan LANG Bai-lin ZHANG Jian |
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| Abstract: | Aimed at the feature of GIS remote sensing image and based on the theory of Shannon noiseless encode,we suggest Quadtree-Arithmatic encode.It is proved that the compression-rate of remote sensing image is increased as long as we rebuild the image when it decompressed.It accords with the request of application of GIS.So this method is an efficient technology of image compression. |
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| Keywords: | GIS image compression Quadtree-Arithmetic encode rebuild image edge curve compression-rate |
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