检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:许德合[1] 闫堃柘 郭海涛[2] XU Dehe;YAN Kunzhe;GUO Haitao(North China University of Water Resources and Electric Power,Zhengzhou 450045,China;Information Engineering University,Zhengzhou 450000,China)
机构地区:[1]华北水利水电大学,河南郑州450045 [2]信息工程大学,河南郑州450000
出 处:《测绘与空间地理信息》2018年第9期27-30,共4页Geomatics & Spatial Information Technology
基 金:地理空间信息工程国家测绘地理信息局重点实验室开放基金(201318)资助
摘 要:针对如何有效提高"天绘一号"卫星影像正射纠正精度的问题,本文基于有理函数模型,提出RPC参数+像方误差补偿方案,利用控制点提高RPC模型的精度。通过对连云港、怀柔地区"天绘一号"卫星影像进行正射纠正,对比无控纠正结果验证该方案。实验结果表明:利用RPC模型进行影像正射纠正是正确的、有效的,辅以稀少控制点就能获得较高精度,不使用任何控制点将会导致系统误差偏大,精度较低。本文研究可为修正卫星影像自带RPC参数误差、提高正射纠正精度提供参考。For the question of how to improve the precision of “Mapping Satellite-1” images ortho-rectification, this paper proposed RPC parameters+ image error compensation scheme based on RFM. Completed using control points to improve the accuracy of the RPC model. And did experiment about satellite image ortho-rectification in Lianyungang and Huairou. By means of comparing the results of the non-control verified this scheme. The experimental results show that it is correct and effective to use the RPC model to correct the images, and it will be able to get a higher precision with sparse control points. Without any control point, the system error is larger, and the accuracy is lower.The research results have certain reference value for fixing the satellite image RPC parameter error as well as improving the ortho-rectification precision.
分 类 号:P236[天文地球—摄影测量与遥感]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.172