TIN-based global image matching for aerial images

Image Matching is the most important work in DPS(digital photogrammetry system). In the past, grid based image matching is adopted to generate DEM of regular grids in many DPS software. Great success has been achieved, while many problems exist. In this paper, a new matching scheme is put forward, in which image features such as points, lines(edges) and regions are organized in a constrained TIN on left image. For every vertex of TIN, possible matching candidates are searched. At last combination optimization is done to determine the true matched points for every vertex.