微小型飞行器航空图像拼接算法

Aerial Image Mosaic Algorithm of MAV

针对微小型飞行器所拍摄图像的特点,提出了一种稳健的航空图像拼接算法。此算法首先使用相位相关法估计平移参数并初步确定重叠区域,在重叠区域采用Harris角点检测算法进行特征点提取得到初步的伪匹配集合,并运用稳健的RANSAC算法将伪匹配点集合划分为内点和外点。在内点域内运用透视变换模型精确地估计出图像间的点变换关系。最后采用双线性插值对交接处进行颜色过渡。实验结果表明,该拼接结果比较理想。

Referring to the characteristics of the Micro Aerial Vehicle （MAV）, a robust aerial image mosaic algorithm was presented. In this algorithm, phase correlation was used to estimate the overlapping area, in which Harris comer detector was used to extract feature points, and then a pseudo matching set was obtained. These pseudo matches were divided into inliers and outliers by using robust RANSAC algorithm. In the inliers sub-set, perspective transformation model was used to estimate the point transformation matrix between two images accurately, In the end, the image color of the overlapping band was smoothed with bilinear interpolation technique. Experimental results show that the image mosaic effect is wonderful.