| NSCT变换的SAR和可见光图像融合 |
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| 引用本文： | 苏志渊,张蕾,普杰信,吴庆涛.NSCT变换的SAR和可见光图像融合[J].计算机工程与应用,2011,47(5):166-168. |
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| 作者姓名： | 苏志渊 张蕾 普杰信 吴庆涛 |
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| 作者单位： | 河南科技大学 电子信息工程学院，河南 洛阳 471003 |
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| 基金项目： | 国家自然科学基金,河南省杰出青年基金 |
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| 摘 要： | 非下采样Contourlet变换同时具有多尺度、多方向选择性、多分辨分析和平移不变性质的特点，对SAR和彩色可见光图像融合的问题，提出一种基于非下采样Contourlet变换和HIS变换相结合的多传感器融合算法。通过对经非下采样Contourlet变换分解得到的不同频域子带系数选择方案的分析，对低频子带系数的选择，提出了一种基于SAR图像与彩色可见光图像物理特征的“加权平均”的系数选择方案；针对各带通方向子带系数的选择，采用绝对值选大多分辨率融合算法。实验以同一场景下ku波段的SAR图像和彩色可见光图像进行算法验证，实验结果和信息熵、均值、相关系数、偏差指数和交叉熵等客观评价数据表明，方法具有较好的融合效果。
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| 关 键 词： | 图像融合 非下采样Contourlet变换 物理特征 HIS变换 |
| 修稿时间： | |
Fusion algorithm of SAR and visible images based on NSCT |
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| SU Zhiyuan,ZHANG Lei,PU Jiexin,WU Qingtao.Fusion algorithm of SAR and visible images based on NSCT[J].Computer Engineering and Applications,2011,47(5):166-168. |
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| Authors: | SU Zhiyuan ZHANG Lei PU Jiexin WU Qingtao |
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| Affiliation: | College of Electronic Information Engineering，Henan University of Science and Technology，Luoyang，Henan 471003，China |
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| Abstract: | Based on the properties of NSCT,multi-scale,multi-directional expansion,multi-resolution analysis and shift invariant,with the fusion problem of SAR and color visible images,a multisensor fusion algorithm using NSCT and HIS transform is presented.In the experiment,the ku-band SAR and color visible images under the same scenario are used to validate this algorithm.The selection principles of the low frequency subband coefficients and bandpass directional subband coefficients are discussed respectively.For the low frequency subband coefficients,＂aweighted averaging＂scheme based on the physical features of SAR images and color visible images is presented;while for the bandpass directional subband coefficients,a selection principle based on the absolute value of selected major is developed.Evaluation of experimental results according to both the subjective and objective criteria,including the entropy,average,correlation coefficient,deviation index and cross entropy,demonstrates that algorithms grounded on the NSCT are more effective. |
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| Keywords: | image fusion Nonsubsampled Contourlet Transform（NSCT） physical feature HIS transform |
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