基于物方地面元的多视最小二乘匹配

以地图测绘、空间信息遥感、摄影测量学为背景的,根据多视影像匹配的理念和方法,按单点最小二乘匹配扩展为基于地面元的多点(以三片为例)的最小二乘匹配,基于改进的VLL讨论了一种基于多视影像的最小二乘影像匹配的方法,高精度的像素影像可以由这种特有的方法进行处理分析,像素的精度可达千分之一。进行相关分析后表明:进行高精度数字影像匹配融合时选择恰当影像匹配模型的匹配策略或由差异的匹配策略结合使用可更好地提高匹配的成功率和可适应性,从而降低误匹配或者漏匹配的同名点。

The Least-square Matching of Multi-view Images Based on the Photographical Feature Points

The article is in mapping,spatial information remote sensing photogrammetry as the background,according to the concepts and methods of multi view image matching.According to single point of Least Squares Matching Extensions for processing and analysis based on ground yuan more (take three tablets,for example) least squares matching,based on improved Ⅶ discussed a multi view image of the least squares image matching method based on,high precision of image pixels can be by this unique method,pixel accuracy up to 1000 one.Correlation analysis showed that for high precision digital image registration and fusion choose appropriate image matching model matching strategy or by the differences in the matching strategy combined with the use of better matching success rate and adaptability,so as to reduce the false match or leakage matching corresponding points.