大区域无人机影像数据的快速几何处理

无人机遥感影像快速几何处理被广泛应用于灾害应急监测与评估、军事侦察等领域。针对目前多数商业软件所依赖的硬件平台成本昂贵、软件开发过程复杂等问题,面向通用硬件平台,提出一种大区域无人机影像数据的快速几何处理方法。对制约处理效率的各关键算法进行优化和改造,实现大区域无人机影像数据的快速几何处理;在影像连接点匹配、正射纠正和影像镶嵌的处理过程中,均应用基于多核CPU并行处理技术,提高整体处理效率。多组无人机影像数据处理试验表明,该方法能够大幅提高处理效率,对硬件平台要求低,具有推广应用价值。

Quick geometric processing of large area unmanned aerial vehicle images

Unmanned aerial vehicle images (UAV ) rapid geometric processing is widely used in disaster emergency monitoring and evaluation ,military reconnaissance ,and the like .The hardware platform on which most present business softwares depend is expensive ,and the software development process is complex .A quick geometric processing method of large area UAV images for general hardware platform is proposed .The key algorithms which restrict the efficiency are optimized and modified and the rapid geometric processing of large area UAV images is implemented .In the process of join points image matching ,ortho‐rectification and image mosaic ,the multi‐core CPU parallel processing technology is applied and the efficiency of the whole process is improved .Multiple sets of UAV image data processing results show the method has a great potential in the field of application for its improved efficiency and low requirements for hardware platform .