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Google Earth辅助下的高分辨率遥感影像区域网平差
引用本文:潘雪琛,姜挺,余岸竹,张一,余林怡.Google Earth辅助下的高分辨率遥感影像区域网平差[J].测绘科学技术学报,2017(6):622-627.
作者姓名:潘雪琛  姜挺  余岸竹  张一  余林怡
作者单位:1. 信息工程大学,河南郑州,450001;2. 32022部队,湖北武汉,430070
基金项目:国家自然科学基金项目(41471387;41301526),地理信息工程国家重点实验室开放基金项目(SKLGIE2015-M-3-1)
摘    要:针对国产卫星境外定位的实际需要,提出利用Google Earth数据量测控制点辅助高分辨率遥感影像区域网平差的方法。首先统一坐标系,将所量测的控制点高程坐标转换为大地高;然后将其视为精度较低的控制点参与平差。试验分为无地面控制点和布设稀少地面控制点两种情况,对于每种情况分别设计不同的试验方案分析Google Earth数据对于定位精度的影响。结果表明利用Google Earth数据辅助区域网平差可以明显提高定位精度,可为缺少地面控制点的境外地区的光学线阵遥感影像几何定位提供新的思路。

关 键 词:遥感影像  区域网平差  RPC模型  立体定位  精度

Block Adjustment of High-Resolution Satellite Images with Google Earth
Abstract:In response to the actual requirements of geo-positioning at abroad of domestic satellite images,a method of block adjustment of high-resolution satellite images with control points measured by Google Earth was proposed.Firstly,the coordinate system was united by transforming the altitude of measured control points into geodetic height,then the measured control points were used as control points with low accuracy in block adjustment.The experiments were divided into two cases which were without ground control points and with few.Several schemes were proposed for two cases to analyze the effects on geo-positioning accuracy by Google Earth.Experimental results indicated that the geo-positioning accuracy of this method was increased obviously.The proposed method in this paper provided a new way for geo-positioning at abroad of optical satellite images without enough ground control points.
Keywords:remote sensing images  block adjustment  RPC model  stereo geo-positioning  accuracy
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