根据中心像元与周围像元之间的临近像元效应，提出了基于动态规划与灰关联分析的最佳拼接线检测算法。首先利用该算法在要进行拼接的图像中找到一条最佳拼接线，然后利用动态宽度的强制改正方法消除拼接缝效应，实现了图像的无缝拼接。为了验证该方法的可行性与有效性，分别以纹理规则、纹理杂乱、不同时相的三组遥感影像进行了实验。研究结果表明，该算法实现简单，达到了较好的视觉效果。

According to the relation of center point and neighboring points, a novel method is put forward using dynamic programming and grey relational analysis to find a best seam line. The first step is to find an optimal seam line to stitch the images. Then the seam line is removed by a hard correction method based on dynamic width. Finally, the seamless mosaicking image is created. To verify the feasibility and effectiveness of the method, experiments were carried out for three sets of remote sensing images of regular-texture images, irregular-texture images and different temporal images. The result showed that the algorithm is effective, simple, easy to realize and is helpful for obtaining more satisfying mosaicking images.