【作者】 王峰； 姚星辉； 尤红建； 李芳芳；

【Author】 WANG Feng;YAO Xinghui;YOU Hongjian;LI Fangfang;Institute of Electronics,Chinese Academy of Sciences;Key Laboratory of Technology in Geo-spatial Information Processing and Application System,Institute of Electronics,Chinese Academy of Sciences;Graduate School,Chinese Academy of Sciences;

【机构】 中国科学院电子学研究所； 中国科学院空间信息处理与应用系统技术重点实验室； 中国科学院大学；

【摘要】 为了充分发挥高分二号卫星高空间分辨率进行目标识别的能力,需要对影像进行几何校正,提升影像数据的几何定位精度。常规的几何校正方法需要地面控制点信息,需要耗费大量人力、物力和时间,而且部分特殊地区很难获取控制点。针对上述问题,本文基于高分二号数据对地物目标多次观测的特点,采用多重叠度无控区域网平差处理技术,提高数据的几何定位精度。首先,基于多级变换多重观测影像自动匹配方法,获得多次观测影像间的同名点集;其次,构建多重观测无控区域网平差模型,并进行模型解算,精化影像定位参数,提高无控定位精度。在北京地区高分二号影像多重观测数据的试验结果表明,多重观测几何定位精度提升方法可以有效提高影像的绝对定位精度.更多还原

【Abstract】 In order to give full play to the high spatial resolution of the GF-2 satellite,the geometric correction of the image is needed to improve the geometric positioning accuracy of the image data.Conventional geometric correction methods require ground control points,which costs lots of manpower,material and time,and it is difficult to obtain control points in some special areas.Therefore,this paper uses multi-overlapping no-control adjustment processing method to improve the geometric positioning accuracy based on the multiple observation data of the area.Firstly,based on the multi-level transform multiple observation image automatic matching method,the same point set between multiple observed images is obtained.Secondly,the model of multi-observation control area is established and solved,to refine the image localization parameters,improving the positioning accuracy.The test on GF-2 images on Beijing shows that the proposed method can improve the absolute positioning accuracy of the image effectively.更多还原