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Geo-positioning of remote sensing images with reference image

  • role： First author第一作者
  • Affiliation：

    Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China

  • Email：xepp27@126.com
  • Introduction：潘雪琛，1992年生，女，硕士研究生，研究方向为航天摄影测量。Email：xepp27@126.com
PAN Xuechen,  
  • Affiliation：

    Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China

JIANG Ting,  
  • Affiliation：

    Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China

YU Anzhu,  
  • Affiliation：

    Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China

WANG Xin,  
  • Affiliation：

    Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China

ZHANG Yi

résumé

Geometric positioning of satellite images, as one of the keys in producing geo-information products, plays an important role in development of national economic. In general, actual measured ground control data is necessary in geometric positioning of satellite images to correct systematic errors and then increase accuracy. However, the actual measured ground control data is high cost and difficult to obtained in some place. Considering lack of actual measured ground control data in some situations, a method of geometric positioning based on RFM with reference images to increase accuracy was proposed in this paper. The auxiliary control points extracted from high-precision images and digital elevation model (DEM) are used in geometric positioning based on RFM. Firstly, plenty of corresponding image points are matched from satellite images. The horizontal and elevation coordinates of the corresponding image points which named auxiliary control points are measured in high resolution reference images and elevation data and transformed into a unify coordinate system. Then, the auxiliary control points are used as ground control points with low accuracy in block adjustment without additional actual measured ground control data. Three kinds of satellite images including IKONOS images in Hobart, Australia, ZY-3 images in Sainte-Maxime, France, and TH-1 images in Dengfeng, China were used in the experiment in this paper, and the auxiliary control points named GE points were extracted from Google Earth data. The experiment divided into two parts, the first part was geometric positioning with the same amount of actual measured ground control points and GE points in the same position to analyze the accuracy of GE points, the result of which showing that there were systematic errors in both actual measured ground control points and GE points, the relation between two kinds of points depending on the quality of the satellite images. Another part of the experiment was block adjustment using GE points as ground control points and was designed in two cases, one was without actual measured ground control points and another was with few. It was found that the systematic errors were reduced and the accuracy were increased by proposed method in three experimental areas in both cases. Especially in the case without actual measured ground control points, the accuracy was increased obviously with plenty of GE points. Furthermore, the effect of the method was highly negatively correlated with the quality of the satellite images. The experimental result shows that the auxiliary control points extracted from reference images could be used as ground control points, proving the feasibility and availability of proposed method, which has good effect to increase accuracy of geometric positioning in the case without enough actual measured ground control data.

mots-clés

remote sensing images;RFM;stereo geo-positioning;reference images;accuracy

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