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基于Curvelet变换的SAR与可见光图像融合研究 被引量:10

SAR and optical image fusion based on curvelet transform
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摘要 提出了一种基于Curvelet变换的合成孔径雷达(SAR)与可见光图像融合方法,设计了一种有效抑制噪声并充分保留源图像重要特征的融合规则。采用偏差指数、相关系数及等效视数指标对融合效果进行评价。实验证明,该方法明显优于基于小波和Ridgelet变换的融合方法。 By introducing curvelet transform to SAR and optical image fusion,we can take the characters of original images well and provide more information for fusion.The method of SAR and optical image fusion based on curvelet transform is proposed,and a kind of fusion rule is designed to suppress noise effectively and remain the important characters of original images.The fusion results are evaluated by difference coefficients,correlation coefficient and equivalent numbers of looks.The results show that this method...
出处 《光电子.激光》 EI CAS CSCD 北大核心 2009年第8期1110-1113,共4页 Journal of Optoelectronics·Laser
基金 国家自然科学基金资助项目(60802084) 西北工业大学青年科技创新基金资助项目(W016218)
关键词 图像融合 CURVELET变换 合成孔径雷达(SAR) 可见光 image fusion curvelet transform synthetic aperture radar(SAR) optical
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参考文献10

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