基于PCI-GXL系统对多源遥感影像区域网纠正精度的研究
发布时间:2018-07-27 17:58
【摘要】:基于PCI-GXL软件平台,针对多源多时相的遥感影像进行区域网纠正,利用控制点数量位置的变化,研究区域网精度的变化情况,同时,利用PCI-GXL软件的内部精准算法,使用遥感影像的高精度RPC参数恢复卫星影像的空间姿态,检验区域网内的连接点对整个区域网的稳定和定位精度起到的作用。本文针对连接点的变化进行了试验分析,在整个区域网中去掉高定位精度的遥感影像,查看整个区域网的精度变化。通过对实验数据精度的分析评价,进一步验证了PCI-GXL系统在区域网纠正时,可以充分地利用高定位精度影像连接点的控制作用,提高整个区域网的精度。今后在遥感影像的区域网纠正时,可以充分的利用已有的影像源作为控制来源,减少外业控制点的需求,避免过多外业控制点的实测工作,提高了遥感影像生产的高效性。
[Abstract]:Based on the PCI-GXL software platform, this paper corrects the remote sensing image with multiple sources and phases, studies the change of the precision of the area network by using the change of the number of control points, and makes use of the internal precision algorithm of the PCI-GXL software. The high precision RPC parameters of remote sensing images are used to restore the spatial attitude of satellite images and to test the effect of the connection points in the regional network on the stability and positioning accuracy of the whole regional network. In this paper, the change of connection points is analyzed experimentally, the remote sensing image with high positioning accuracy is removed from the whole area network, and the variation of the precision of the whole area network is viewed. Through the analysis and evaluation of the experimental data precision, it is further verified that the PCI-GXL system can make full use of the control function of the image connection point with high positioning accuracy to improve the accuracy of the whole area network when the area network is corrected. In the future, when the remote sensing image is corrected in the regional network, the existing image source can be used as the control source to reduce the demand of the field control point, to avoid the measurement work of too many field control points, and to improve the efficiency of remote sensing image production.
【作者单位】: 四川省第三测绘工程院;中冶沈勘工程技术有限公司;
【基金】:四川省测绘地理信息局科技计划项目(J2014ZC12)资助
【分类号】:P237
本文编号:2148690
[Abstract]:Based on the PCI-GXL software platform, this paper corrects the remote sensing image with multiple sources and phases, studies the change of the precision of the area network by using the change of the number of control points, and makes use of the internal precision algorithm of the PCI-GXL software. The high precision RPC parameters of remote sensing images are used to restore the spatial attitude of satellite images and to test the effect of the connection points in the regional network on the stability and positioning accuracy of the whole regional network. In this paper, the change of connection points is analyzed experimentally, the remote sensing image with high positioning accuracy is removed from the whole area network, and the variation of the precision of the whole area network is viewed. Through the analysis and evaluation of the experimental data precision, it is further verified that the PCI-GXL system can make full use of the control function of the image connection point with high positioning accuracy to improve the accuracy of the whole area network when the area network is corrected. In the future, when the remote sensing image is corrected in the regional network, the existing image source can be used as the control source to reduce the demand of the field control point, to avoid the measurement work of too many field control points, and to improve the efficiency of remote sensing image production.
【作者单位】: 四川省第三测绘工程院;中冶沈勘工程技术有限公司;
【基金】:四川省测绘地理信息局科技计划项目(J2014ZC12)资助
【分类号】:P237
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