摘要
随着无人机影像处理技术的不断发展,地理信息成果逐渐呈现出多元性。为快速了解大范围区域概况,实现整体规划部署,往往需要快速生产高精度正射影像图。本文旨在降低地理信息成果对地面控制点的依赖,结合现阶段发展的高精度差分型无人机系统,引入计算机视觉的运动恢复结构运动恢复结构(Structure from Motion,SFM)技术,实现影像位姿参数的一致性优化。以此为基础,经多视角前方交会,提高空间定位精度,进一步生成高精度数字正射影像。实验结果表明,与传统POS辅助空中三角测量相比,基于SFM技术所生产的成果精度更高,且大大降低了对地面控制点数量的需求,具有一定工程应用价值。
With the continuous development of UAV image processing technology,geographic information achievements gradually show diversity.In order to quickly understand the general situation of a large area and realize the overall planning and deployment,it is often necessary to rapidly produce high-precision orthophoto Maps.The purpose of this paper is to reduce the dependence of geographic information achievements on ground control points.Combined with the high-precision differential UAV system developed at this stage,SFM(Structure From Motion)technology of computer vision was introduced to realize the consistency optimization of image pose parameters.On this basis,through multi view forward intersection,the spatial positioning accuracy was improved,and the high-precision digital orthophoto image was further generated.The experimental results showed that compared with the traditional POS aided aerial triangulation,the results based on SFM technology had higher accuracy,and greatly reduced the demand for the number of ground control points,which had certain engineering application value.
作者
冯成
FENG Cheng(Shuowei Engineering Technology Company Limited,Pingtan Fujian 350400,China)
出处
《北京测绘》
2021年第4期453-457,共5页
Beijing Surveying and Mapping
