| Contourlet变换耦合特征投票的遥感图像融合算法 |
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| 引用本文： | 周宏宇,宋 旭,刘国英.Contourlet变换耦合特征投票的遥感图像融合算法[J].太赫兹科学与电子信息学报,2020,18(4):692-697. |
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| 作者姓名： | 周宏宇 宋 旭 刘国英 |
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| 作者单位： | School of Computer and Information Engineering, Anyang Normal University, Anyang Henan 455000，China; 1.School of Computer and Information Engineering, Anyang Normal University, Anyang Henan 455000，China；2.Wuhan University,State Key Laboratory of Surveying and Mapping Remote Sensing Information Engineering, Wuhan Hubei 430079，China |
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| 基金项目： | 国家自然科学基金资助项目(41001251)；河南省基础与前沿技术研究计划基金资助项目(152300410182)；河南省高等学校重点科研基金资助项目(18B420001)；河南省重点科技攻关计划基金资助项目(122102210173) |
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| 摘 要： | 为了解决图像系数融合问题，设计了基于非下采样Contourlet变换与特征投票机制的遥感图像融合算法。采用色相饱和度(HSV)变换从多光谱图像中提取其亮度成分。随后，对该亮度成分与全色图像进行非下采样Contourlet变换，以计算相应的高频、低频系数。再建立特征投票机制，完成低频系数的融合。通过构造高频系数融合规则，获取融合高频系数。最后，对融合系数进行处理，生成融合图像。实验结果显示，所设计算法具有更好的光谱特性以及清晰度。
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| 关 键 词： | 遥感图像融合 非下采样Contourlet变换 特征投票机制 HSV变换 区域方差 |
| 收稿时间： | 2019/5/7 0:00:00 |
| 修稿时间： | 2019/6/6 0:00:00 |
Remote sensing image fusion algorithm based on non-subsampled Contourlet transform and feature voting |
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| ZHOU Hongyu,SONG Xu,LIU Guoying.Remote sensing image fusion algorithm based on non-subsampled Contourlet transform and feature voting[J].Journal of Terahertz Science and Electronic Information Technology,2020,18(4):692-697. |
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| Authors: | ZHOU Hongyu SONG Xu LIU Guoying |
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| Abstract: | A remote sensing image fusion algorithm based on non-subsampling Contourlet transform coupled feature voting mechanism is designed in order to solve the problem of image coefficient fusion. Hue Saturation Value(HSV) transform is adopted to extract brightness components from multi-spectral images. Then the brightness component and panchromatic image are transformed by using the non-downsampling Contourlet transform for calculating the high and low frequency coefficients. The feature voting mechanism is established to fuse low frequency coefficients. The fusion rules of high frequency coefficients are constructed to obtain the fused high frequency coefficients. The fusion coefficients are processed to generate the fusion image. The experimental results show that the fused image of the proposed algorithm has better spectral characteristics and clarity. |
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