基于曲波活性测度的SAR与多光谱图像融合

曲波变换是一种更适合于图像处理的多尺度几何分析方法,具有很强的方向性。结合活性测度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,对多光谱图像和SAR图像的R、G、B三波段分别进行曲波变换,粗尺度系数采用3×3窗口系数活性测度进行融合,细节尺度直接取大,对粗尺度和细节尺度系数重构后得到最终融合结果。采用熵、平均梯度、信噪比和扭曲程度对融合结果进行评价。实验结果表明,基于曲波活性测度的融合方法在保持MS光谱信息和提高空间分辨率上都有较好的结果。

SAR and MS image fusion based on curvelet transform and activity measure

Curvelet transform, as a method of multiscale geometric analysis, is more suitable for image processing and contains more directional information. This paper proposed the methods of integrating SAR and MS image based on curvelet transform and described activity measure in detail. It gave SAR and MS image by curvelet transform to obtain coarse coefficients and detail coefficients. Then, it applied the inverse transform to obtain the fusion product. Finally it used degree of distortion DoD and entropy etc to evaluate the result. The results of experiment indicate that the method excels those of based on traditional curvelet transform in preserving spectral information and enhancing resolution.