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基于Teager算子的红外偏振图像融合算法

Image fusion for infrared polarization based on Teager operator

中文摘要英文摘要

本文提出了一种采用Contourlet变换和二维Teager算子的红外偏振图像融合算法。首先,将红外偏振图像利用Contourlet变换分解成低频和高频部分,对高频子带采用Teager算子处理,并根据不同的区域特征按对比度最大规则进行选取,对低频子带部分以能量为判别标准,选取加权权重来进行图像融合,并给出了实验结果及分析。实验结果表明,本文提出的算法相对与传统算法,能较多地表征红外偏振遥感图像边缘和纹理信息,有着更高的清晰度,也提高了偏振遥感图像的视觉效果。

his text puts forward a image fusion algorithm for infrared polarization using Contourlet transform and 2-D Teager operator. First of all, basing on Contourlet transform ,decomposing Infrared polarization image into low frequency and high frequency , and processing the high frequency sub bands by using Teager operator, and then select according to different regional characteristics base on maximum contrast ratio, as for the low frequency sub bands , takes energy as the criterion, Selects the weighted weights to fuse the image and gives the experimental results and analysis. The results of the experiment show that compare with the traditional , the algorithm this text presents can give better characterization of polarization remote sensing image edge and texture information, has a higher resolution, and also improves the visual effect of the polarized remote sensing image .(10 Points, Times New Roman)

张晶晶、郭睿东

遥感技术

红外偏振ontourlet变换二维Teager算子对比度

infrared polarizationContourlet transformtwo-dimensional Teager operatorcontrast

张晶晶,郭睿东.基于Teager算子的红外偏振图像融合算法[EB/OL].(2015-11-30)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201511-749.点此复制

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