首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于ROI编码的干涉超光谱图像近无损压缩
引用本文:张帆,李自田,薛利军.基于ROI编码的干涉超光谱图像近无损压缩[J].光子学报,2006,35(9):1388-1391.
作者姓名:张帆  李自田  薛利军
作者单位:中国科学院西安光学精密机械研究所,西安,71068;中国科学院研究生院,北京,100039;中国科学院西安光学精密机械研究所,西安,71068
摘    要:针对干涉超光谱成像仪所成图像的特点,提出了一种基于ROI(Region of Interest,感兴趣区域)编码的干涉超光谱图像序列压缩方法.利用帧内差值变换,结合矩形ROI编码,在提高遥感图像压缩比的同时,使压缩后的重建图像质量达到近无损的技术要求.实验结果表明,这种压缩方法在干涉超光谱图像压缩中当相对光谱二次误差为2.04%时,干涉图像的压缩比达到9.66∶1.

关 键 词:图像压缩  干涉超光谱图像  ROI  成像光谱技术
收稿时间:2005-05-27
修稿时间:2005年5月27日

A Method of Near-lossless Compression for the Interferogram Hyperspectral Images Based on Rectangle ROI Coding
Zhang Fan,Li Zitian,Xue Lijun.A Method of Near-lossless Compression for the Interferogram Hyperspectral Images Based on Rectangle ROI Coding[J].Acta Photonica Sinica,2006,35(9):1388-1391.
Authors:Zhang Fan  Li Zitian  Xue Lijun
Institution:1 Xi′an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences,Xi′an 710068
2 Graduate School of Chinese Academy of Sciences,Beijing 100039
Abstract:A new compression method of interferogram hyperspectral images based on ROI (Region of Interest) coding is proposed,which is based on the analyses of the characteristics of hyperspectral imaging spectrometry. This method that uses the symmetry of the interfering stripes,processes the intra-frame compression and integrates the rectangle ROI coding improves compression ratio of remote sensing images and reaches the requirements of near-lossless compression. Experimental results showed that when relative spectral quadratic error was 2.04% the compression radio reached 9.66∶1.
Keywords:Image compression  Interferogram hyperspectral images  ROI  Spatially modulated imaging interferometery
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《光子学报》浏览原始摘要信息
点击此处可从《光子学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号