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采用谱间预测的高光谱图像压缩方法研究
引用本文:梅江涛,李勇. 采用谱间预测的高光谱图像压缩方法研究[J]. 计算机工程与应用, 2011, 47(4): 188-190. DOI: 10.3778/j.issn.1002-8331.2011.04.052
作者姓名:梅江涛  李勇
作者单位:西北工业大学,电子信息学院,机载电子综合信息系统创新实验室,西安,710129
摘    要:高光谱图像具有较高谱分辨率的优越性是以其较大的数据量及较高的数据维为代价的,因此有必要研究有效的高光谱图像压缩方法。探讨一种基于谱间预测的高光谱图像压缩方案。考虑到高光谱图像谱间相关性随分辨率的提高而增强,推导出由多个波段对当前波段进行线性预测的预测器系数求解算法,提出了一种参考波段优化选取方法。实验结果表明,该方法能获得较低的最小均方误差,运算速度快,具有实用价值。

关 键 词:高光谱图像  谱间预测  压缩  优化
收稿时间:2009-05-14
修稿时间:2009-7-13 

Study on interspectrum-prediction method adopted for compression of hyperspectral image
MEI Jiangtao,LI Yong. Study on interspectrum-prediction method adopted for compression of hyperspectral image[J]. Computer Engineering and Applications, 2011, 47(4): 188-190. DOI: 10.3778/j.issn.1002-8331.2011.04.052
Authors:MEI Jiangtao  LI Yong
Affiliation:MEI Jiangtao,LI Yong Airbome Comprehensive Electronic Information System Innovative Laboratory,School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710129,China
Abstract:Hyperspectral images have higher spectral resolution than normal images,however this advantage is at the cost of massy quantity of data that brings difficulties to image storage and transmission.So it is very important to search an effective compression algorithm for hyperspectral images.A hyperspectral image compression algorithm based on spectral prediction is proposed in this paper.Considering that as the spectral resolution of hyperspectral image increases,its spectral correlation becomes more significa...
Keywords:hyperspectral images  interspectrum-prediction  compression  optimization
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