摘要
介绍了资源三号卫星三线阵立体像对全国无控制整体区域网平差的关键技术及应用,主要包括高精度稳态重成像处理技术、基于虚拟控制点的平差模型构建技术、粗差(包括几何精度异常影像、误匹配点)的探测与剔除技术以及超大规模平差方程的高效解算方法。在此基础上,对覆盖全国的8 802个资源三号三线阵立体像对(共26 406景影像)在无控制条件下整体一张网的平差结果及精度验证情况进行分析。实验结果表明,该方法不但可以保证区域网整体的绝对无偏估计,还可以有效控制区域网内部几何误差的传递与累积,从而避免网的变形,以保证网内几何精度的一致性与均匀性。此外,还列出了本技术在全球测图工程中德国试验区的示范应用情况。
The key technologies and applications of the large-scale block adjustment for the ZY-3 three linear array stereo imagery pairs under the condition without using ground control points（GCPs）are introduced,in which the three-linear-array stereo imagery pairs covering whole China's Mainland are modified together.A series of key techniques including the high-precision steady re-imaging,establishment of the adjustment model based on the virtual control points,errors detecting and eliminating technology（including the images with anomaly geometric accuracy and the gross tie points）,and the organization and fast calculation of the large-scale adjustment normal equation are provided.Based on these technologies,8802three-linear-array stereo imagery pairs（26406images）cover whole China's Mainland were processed together under the condition without using GCPs.The availability and the accuracy of the presented method is verified according to the processed data.The satisfactory experimental results indicate that the presented method could not only ensure the unbiased estimation of the whole block,but also restrain the transfer and accumulation of the internal distortion,thereby ensure the consistency of the geometric accuracy.In addition,the demonstration of the method applied in Germany is also provided in the paper,which further indicates the presented method is available and feasible.
作者
王密
杨博
李德仁
龚健雅
皮英冬
WANG Mi YANG Bo LI Deren GONG Jianya PI gingdong(State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China School of Computer, Wuhan University ,Wuhan University, Wuhan 430072, China School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China)
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2017年第4期427-433,共7页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金(41601492
91638201)
国家重点研究发展计划(2016YFB0501402)~~
