一种曲波域亮度调制的遥感图像融合方法

摘要

曲波(Curvelet)变换是一种更适合于图像处理的多尺度几何分析(MGA)方法,具有很强的方向性；结合HSI变换将其应用于合成孔径雷达(SAR)图像和多光谱(MS)图像融合可以更好地表示图像中的有用特征；首先对多光谱图像进行HSI变换,得到亮度分量I,对亮度调制(IM)的方法为:对SAR图像和I分量进行曲波变换得到粗尺度系数和细节尺度系数,利用边缘信息和和调制系数k对粗尺度系数进行处理,逆变换后得到新的亮度分量Inew,用Inew替代原亮度分量I进行逆HSI变换得到最终融合结果,采用熵、梯度、空间频率、偏差指数和扭曲程度对融合结果进行评价；实验结果表明,该方法在保持光谱信息和提高空间分辨率上都有较好的结果.%Curvelet Transform , as a method of Multiscale Geometric Analysis (MGA), is more suitable for image processing and contains more directional information. In this paper, the methods of integrating SAR image and MS image are proposed based on curvelet and HSI transform. SAR image and I image, which is given by a linear HSI transform are given by curvelet transform to obtain coarse coefficients and detail coefficients. The intensity modulation (IM) method, using edge information and modulation coefficient is described in detail. Then, the inverse curvelet transform is applied to obtain the new intensity I image (Inew). Finally use Degree of Distortion (DoD) and Space Frequency (SF) . etc to evaluate the result. The results of experiment indicate that the method excels those of based on HSI or curvelet transform in preserving spectral information and enhancing resolution.