基于MPI的高效半全局约束密集匹配方法

灾害现场的地形地物高效三维重建是快速获取灾情信息的关键技术之一,也是正射影像纠正的先决条件。无人机等低空轻型遥感系统能快速获取高分辨率和高重叠度影像,因此在灾害应急响应中被广泛关注。利用大范围低空影像进行灾害现场快速三维重建依赖于高效的密集匹配方法。文中提出一种基于MPI(Message Passing Interface)的高效半全局约束密集匹配方法,既克服传统的影像匹配方法难以充分利用影像重叠度高的困难,也能在短时间内快速处理大量影像获取灾害现场的三维信息,适应面向灾害应急响应的效率要求。

Efficient and dense semi-global matching method based on MPI

Efficient three‐dimensional terrain and surface feature reconstruction of the disaster site is one of the key technologies to quickly get disaster information ,as well as a prerequisite for orthophoto correction . Unmanned aerial vehicles and other low‐altitude and light sensing system can quickly obtain high‐resolution images and high degree of overlap ,which attracts wide attention in disaster emergency response . The use of a wide range of low‐altitude image in quick 3D reconstruction in disaster site depends on the efficient dense matching method .An efficient and dense semi‐global matching method is presented based on MPI(Message Passing Interface) .Not only can it overcome the traditional image matching methods to be difficult to take advantage of a high degree of overlapping images ,but also can quickly deal with a large number of images in a short time to get three‐dimensional information on the disaster site ,and adapt for efficiency requirements of disaster emergency response .