基于匹配与平差的景象镶嵌方法

在概括介绍消附相邻景象辐射差异常用算法的基础上，为有效消除相邻景象间几何位置的差异，提出了一种将影象匹配与平差理论相结合的影象镶嵌新算法，该方法是在镶嵌影象的重叠部分进行基于特征的影象匹配，即首先获取一序列同名点，且这些同名点的匹配精度在一个象元以内；然后用正形多项式模拟这些同名点间的几何位置差异，再按最小二乘法原理对右边影象进行平差改正，以实现两影象空间位置上的无缝连接。实验结果表明，庐镶嵌方法具有良好的效果。

An Image Mosaicing Approach Based onImage Matching and Adjustment

An image mosaicing new approach based on the integration of image matching and adjustment, which can effectively remove the residual geometric distortions between mosaiced images, was presented. At first, selecting one of mosaiced image as the reference, for example, the left side image, then the other image was matched with it in the overlapping area. A point feature-based matching algorithm was employed, and a quadratic polynomial fitting method was used to locate the corresponding points within one pixel. On the basis of these corresponding points, a adjustment algorithm was performed by adding a polynomial increment to every pixel position in the right side image so that geometric position distortions between the two images is minimal under Least Square principle, thus the two images could be mosaiced together seamlessly. At the same time, the usually used methods for radiometric difference reduction are presented .The proposed approach was applied to mosaic two rectified aerial photos, after image adjustment, the residual geometric distortion was greatly removed.