%0 Journal Article
%T 3D Contexts-based Predictive Lossless-Coding for Hyperspectral Images<br>基于3维上下文预测的高光谱图像无损压缩
%A NIAN Yong-jian
%A SU Ling-hua
%A SUN Lei
%A WAN Jian-wei
%A <br>粘永健
%A 苏令华
%A 孙蕾
%A 万建伟
%J 中国图象图形学报
%D 2008
%I 
%X The request for efficient compression of hyperspectral images becomes pressing. A new lossless compression algorithm based on 3D contexts prediction for hyperspectral images is presented. Spectral band grouping algorithm is introduced to divide hyperspectral images into groups according to the neighboring band correlations,then band reordering is performed for each group. The important bands containing large information can be determined by using adaptive band selection algorithm,on which clustering is carried out according to the spectral vectors. 3D contexts are defined based on the neighboring causal pixels in current band and the corresponding co-located causal pixels in reference band. Combined with the clustering results,the optimal predictive coefficients of each cluster are trained respectively. Experimental results show that the proposed algorithm can give better lossless coding performance.
%K hyperspectral image
%K lossless compression
%K band reordering
%K spectral cluster<br>高光谱图像
%K 无损压缩
%K 波段排序
%K 谱向聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F38495267632B99B5E58DAB3205ED70C&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=F3090AE9B60B7ED1&sid=FFD10F7019FAA9EC&eid=EA357AD73C8E13BC&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=8