摄影测量三维重建中多源信息融合方法探讨

分析摄影测量三维重建中不同数据源的特点,针对现有多源数据融合存在的有限数据源低层次融合问题,提出一种基于影像特征、GIS信息和3D TIN模型融合的层次结构与算法流程 .该算法主要包括多边形区域增长、几何推理和建筑物几何模型平差等处理,为基于摄影测 量的三维城市模型自动重建提供了一种新的思路与方法.

Research on the Multisource Information Fusion Methods for Photogrammetric 3D Reconstruction

Multisource information fusion methods for 3D reconstruction has gotten international attention in photogrmmnetry, remote sensing and computer vision and research on it are significant in theory and in practice as well. This paper mainly focuses on the fusion algorithm of image feature,GIS information and 3D TIN model. At the beginning, the characteristics of different dam sources for 3D reconstruction of photogrammetry,some multisource information fusion methods for 3D reconstruction and the problems of low levd fusion of limited data are analyzed.Then a new fusion architecture and an algorithm are proposed for the fusion of image feature,GIS information and 3D TIN model, which provide a new way for 3D city model automatic reconstruction based on photogrammetry. This algorithm mainly includes polygon region growing, geometric reasoning, geometric model adjustment and so on, To realize 3D city model automatic reconstruction, items and implementing solutions based on mulfisource information fusion methods for photogrammettle 3D reconstruction need to make further study.