False Color Fusion for Multi-band SAR Images Based on Contourlet Transform

为合成的孔雷达(SAR ) 图象基于 contourlet 转变的多乐队的一个假颜色图象熔化方法被介绍。它以下列方法工作：第一， contourlet 变换的灵活 multiresolution，高 directionality 和 anisotropy 被用于为 SAR 图象实现多尺度的分解。在 contourlet 变换领域，一条边信息测量规则被用来合并方向性的 subbands，并且一条平均规则被用来合并 lowpass subbands。然后，一个混合高增加过滤器算法被建议生产 red-green-blue (红绿蓝) 的隧道基于灰色的熔化图象建模的红、绿、蓝的颜色。最后，假颜色熔化了图象在 RGB 颜色空间被显示。这个方法把灰色的信息翻译成对人的视觉系统可得到的颜色信息并且提高光谱为 SAR 图象的分辨率。试验性的结果被证实建议方法的有效性。

A false color image fusion method for multi-band synthetic aperture radar （SAR） images based on contourlet transform is presented. It works in the following way： firstly, the flexible multiresolution, high directionality and anisotropy of contourlet transform are used for implementing the multiscale decomposition for SAR images. In the contourlet transform domain, an edge information measurement rule is used to merge the directional subbands, and an averaging rule is used to merge the lowpass subbands. Then, a hybrid high boost filter algorithm is proposed to produce the red, green and blue color channels of red-green-blue （RGB） model based on the gray fused image. Finally, the false color fused image is displayed in the RGB color space. This method translates the gray information into color information available to human visual system and enhances the spectral resolution for SAR images. Experimental results is confirmed the validity of the proposed method.