城区大比例尺影像三维景观重建

Reconstruction of 3D Landscape from Images with Large Scale for Urban Region

本文利用目标提取技术，根据近似点位进行房屋角点的自动定位，自动搜索同名点，然后建立一个尽可能多地包含房顶面的目标窗口，取代传统的以房角为中心的窗口进行房顶角点影像匹配，提高了房顶角点匹配的可靠性，实现了航空影像房屋三维数据的半自动量测。进而在地面与建筑物表面二维半不规则三角网和原始数字影像的基础上，实现了建筑物可见表面纹理的恢复，重建了城市真实三维景观。

Reconstruction of 3D landscape for urban region is an important research in digital photogrammetry and visualization. By means of object extracting technique, corners of the house have been located automatically according to approximate points firstly in this paper. Then, the window, including much area of house proof instead of centering at the corner of house, is created to perform image matching for house corner. The reliability of image matching is improved. After the 3D data of houses are measured semi automatically, texture restoration of visual surface on the buildings is achieved based on the 2.5D triangulated irregular network of ground and building surface and original digital image. The real 3D landscape of urban is reconstructed.