优化视觉特性型多波段SAR图像像素级融合方法

Pixel level fusion approach based on optimizing visual perception for multi-band SAR image

针对多波段合成孔径雷达(syntheticapertureradar,SAR)图像数据特征,提出了一种优化视觉特性型像素级融合方法。该方法基于优化图像的视觉特性以及像素级融合的要求,利用小波变换对各波段SAR图像相对应的低频分量及各方向细节分量进行针对性融合处理,很好地将来自不同图像的特征与细节融合在一起。仿真实验证明,该算法可形成比单波段图像细节信息更为丰富、目测更为直观、统计特性更优的融合图像。

According to the feature of a multi-band SAR image, a pixel level fusion approach based on optimizing visual perception is proposed in this paper. Optimizing visual perception and demand of pixel level fusion are considered. By wavelet transform, each low frequency component and orientation detail component of SAR images are fused pertinently. Features and details from different band SAR images are fused successfully. Computer simulations show that the fused images obtain more abundant details and more excellent statistic characteristics, are more suitable for human vision than any single-band SAR image.