基于搜索最优双预测波段的超光谱遥感图像无损压缩  

Lossless Compression Based on Searching the Optimal Couple Prediction Wavebands for Hyperspectral Image

作　　者：霍承富 张荣 

机构地区：[1]中国科学与技术大学电子工程与信息科学系,合肥230027

出　　处：《电子与信息学报》2009年第5期1144-1147,共4页Journal of Electronics & Information Technology

摘　　要：该文针对超光谱各波段成像图像之间的相关性强弱程度互不相同这一特点,提出了基于搜索最优双预测波段的超光谱图像无损压缩算法。该算法通过建立一个搜索最优双预测波段的二叉树模型,搜索与每一波段相关性最强的两个波段,并用这两个波段对该波段进行预测。实验表明,与目前研究的其它超光谱图像压缩算法相比,该算法有着很好的压缩性能。The relativity between hyperspectral images of different waveband is differ from each other, contraposing this characteristic, this paper presents a lossless compression algorithm of hyperspectral image which is based on searching the optimal couple prediction wavebands. Through a searching model which is built by consulting the binary tree, two prediction wavebands are found, which have the most relativity to each basal waveband, and then the basal waveband is predicted using the two prediction wavebands. Experimental reault shows that, the compression algorithm has a primely compression performace compared with other compression algorithms present recently.

关 键 词：超光谱图像 最优双预测波段 二叉树 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]