%0 Journal Article
%T A Prediction Tree-based Lossless Compression Technique of Multispectral Image Data<br>一种基于预测树的多光谱遥感图像无损压缩方法
%A Zhang Rong
%A Yan Qing
%A Liu Zhengkai
%A <br>张荣
%A 阎青
%J 遥感学报
%D 1998
%I 
%X 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.
%K Lossless compression
%K Prediction tree
%K Arithmetic coding<br>无损压缩，预测树，算术编码
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=5DC7779D6842485967822B5D3274C913&yid=8CAA3A429E3EA654&vid=0B39A22176CE99FB&iid=38B194292C032A66&sid=73579BC9CFB2D787&eid=A58CF3BAE79427D0&journal_id=1007-4619&journal_name=遥感学报&referenced_num=9&reference_num=8