为了更好地满足智慧城市建设中对自动获取建筑物精确檐口高的需求,提出了一种基于极大值边缘信息量的高程初值提取方法,实现了二维线划图与边缘影像在檐口位置的初始套合,在此基础上通过广义点摄影测量迭代求解精确檐口高。实验结果表明,该方法可以全自动地恢复二雏线划图中的建筑物檐口高,达到分米级精度,不仅提供了一种生产三维线划图的技术方法,而且对于建筑物三维建模、人工地物自动提取等技术的发展和进步也具有推动意义和参考价值。
In order to better meet the demand of automatically determining the precise eave height of buildings in the construction of Smart City models, a method of initial eave height determination is proposed based on the maximum edge information, Edge Images, and 2D DLG (digital line graph) overlays of the position of eaves, to determine precise eave height through generalized point photogrammetry iteration. Experiments show that this method delivers eave height automatically for buildin's in 2D DLG, with a decimeter accuracy. It provides a method for 3D DLG production, and contributes to the development and progress of technologies such as 3D building reconstruction, and automatic man-made objects extraction.