基于最佳缝合线的序列遥感图像拼接融合方法

在图像融合过程中常采用重叠区域像素加权融合方法,这会存在鬼影现象。为解决这一问题,提出了一种改进的最佳缝合线生成算法和沿最佳缝合线的融合方法,并将其应用于序列遥感图像的拼接融合。首先在重叠图像中,对重叠区域的边赋予权值,然后进行最大流最小割,最终获取最佳缝合线。在计算边权值时引入了图像梯度信息,使缝合线更准确。在图像融合时,沿最佳缝合线生成一个条带形融合区域,采用渐入渐出法对缝合线两侧的条带形融合区域图像进行过渡处理,使拼接后的图像更为真实。在序列遥感图像拼接上,采用捆绑调整算法调整拼接图像的参数来实现全局误差最小化。实验表明,该方法能够有效消除鬼影并且能获得准确的拼接图像与融合,对于序列遥感图像的拼接融合能够获得很好的效果。

Image Fusion Method Based on Best Seam-line for Serial Remote Sensing Images Mosaic

Pixels weighted fusion in overlapped region is a key technology in image fusion processing,but ghosting will appear.In this paper,an improved algorithm for generating optimal seam-line and fusion method along the best seam-line for image fusion were presented and applied to mosaic and fusion for serial remote sensing images.Firstly,the edge weights are set in the overlapping area of the images.Then the maximum flow minimum cut is calculated,and eventually the best seam-line in images overlapping area is got.In the calculation of the weights of edges,the image gradient information is introduced,and the seam-line is more accurate.In image fusion processing,along the best seam-line a strip-shaped fusion area is generated,and the image in the strip-shaped fusion area of both sides of the seam-line is transited using gradated in and out method to make mosaic images more real.In serial remote sensing images mosaic,the bundle adjustment algorithm is used to adjust the parameters of images mosaic to achieve the global error minimization.Experimental results show that this method can effectively eliminate ghosting and obtain accurate image mosaic and fusion,and can get good results for serial remote sensing images mosaic and fusion.