Satellite Data Reduction Using Entropy-preserved Image Compression Technique

被引：2

作者：

李俊

周凤仙

高清怀

机构：

[1] InstituteofAtmosphericPhysics,AcademiaSinica,Beijing,China,InstituteofAtmosphericPhysics,AcademiaSinica,Beijing,China,InformationScienceCenter,PekingUniversity,Beijing,China

来源：

Advances in Atmospheric Sciences | 1991年 / 02期

关键词：

Jun; Li; Satellite Data Reduction Using Entropy-preserved Image Compression Technique; line; node; than;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

<正> In this paper, three techniques, line run coding, quadtree DF (Depth-First) representation and H coding for compressing classified satellite cloud images with no distortion are presented. In these three codings, the first two were invented by other persons and the third one, by ourselves. As a result, the comparison among their compression rates is. given at the end of this paper. Further application of these image compression technique to satellite data and other meteorological data looks promising.

引用

页码：237 / 242

页数：6