收稿：2017-11-27，
录用：2018-5-7，
纸质出版：2019-07
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针对遥感卫星影像几何定位时实测控制数据不足的情况，提出利用影像范围内基准影像数据辅助定位提高精度的方法。由遥感影像匹配得到同名像点，利用高精度影像数据和高程数据获取物方平面和高程坐标后，将其视为精度较低的控制点参与区域网平差，从而实现在不额外增加实测控制条件的情况下提高定位精度。经过在国内外3个地区进行一系列试验，验证了方法的可行性和有效性，对提升线阵遥感影像几何定位精度效果显著。
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.
陈小卫, 张保明, 张同刚, 郭海涛, 岑敏仪. 2016. 公开DEM辅助无地面控制点国产卫星影像定位方法. 测绘学报, 45(11): 1361–1370
Chen X W, Zhang B M, Zhang T G, Guo H T and Cen M Y. 2016. Public DEM-assisted positioning method for Chinese satellite imagery without ground control points. Acta Geodaetica et Cartographica Sinica, 45(11): 1361–1370
范冲, 王雪平. 2014. 基于TerraSAR-X影像的光学遥感影像地理定位研究综述. 测绘与空间地理信息, 37(8): 1–4
Fan C and Wang X P. 2014. Geolocation of optical satellite image based on TerraSAR-X image. Geomatics and Spatial Information Technology, 37(8): 1–4
Goncalves J A. 2008. Orientation and DEM extraction from ALOS-PRISM images using the SRTM-DEM as ground control//The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Beijing: ISPRS: 1177-1182
Grodecki J and Dial G. 2003. Block adjustment of high-resolution satellite images described by rational polynomials. Photogrammetric Engineering and Remote Sensing, 69(1): 59-68 [DOI: 10.14318/PERS.69.159]
郭文月, 余岸竹, 刘海砚, 姜挺, 魏祥坡. 2017. 正则化总体最小二乘用于光学线阵遥感影像定位. 光学精密工程, 25(1): 236–244
Guo W Y, Yu A Z, Liu H Y, Jiang T and Wei X P. 2017. Regularized total least squares used in remote sensing image positioning of optical line array. Optics and Precision Engineering, 25(1): 236–244
刘楚斌, 范大昭, 雷蓉, 戴海涛. 2016. SRTM辅助下的RPC模型区域网平差. 测绘与空间地理信息, 39(1): 9–12
Liu C B, Fan D Z, Lei R and Dai H T. 2016. RPC model block adjustment with SRTM. Geomatics and Spatial Information Technology, 39(1): 9–12
刘楚斌, 张永生, 范大昭, 雷蓉. 2015. 资源三号卫星境外高精度定位方法研究. 测绘通报, (9): 6-8, 27 [DOI: 10.13474/j.cnki.11-2246.2015.0266]
Liu C B, Zhang Y S, Fan D Z and Lei R. 2015. Research on the geometrical positioning evaluation of ZY-3 satellite at abroad. Bulletin of Surveying and Mapping, (9): 6-8, 27
刘军, 张永生, 王冬红. 2006. 基于RPC模型的高分辨率卫星影像精确定位. 测绘学报, 35(1): 30–34
Liu J, Zhang Y S and Wang D H. 2006. Precise positioning of high spatial resolution satellite images based on RPC models. Acta Geodaetica et Cartographica Sinica, 35(1): 30–34
刘建辉, 姜挺, 李延杰, 李厚朴. 2014. 天绘一号卫星三线阵影像RPC模型定位精度验证与分析. 测绘工程, 23(11): 25–29
Liu J H, Jiang T, Li Y J and Li H P. 2014. Verification and analysis of positioning accuracy of RPC model of TH-1 three-line imagery. Engineering of Surveying and Mapping, 23(11): 25–29
吕志平, 乔书波. 2010. 大地测量学基础. 北京: 测绘出版社
Lv Z P and Qiao S B. 2010. Foundation of Geodesy. Beijing: Survey and Mapping Press
Mohammed N Z, Ghazi A and Mustaf H E. 2013. Positional accuracy testing of Google earth. International Journal of Multidisciplinary Science and Engineering, 4(6): 6–9
童旭东. 2016. 中国高分辨率对地观测系统重大专项建设进展. 遥感学报, 20(5): 775–780
Tong X D. 2016. Development of China high-resolution earth observation system. Journal of Remote Sensing, 20(5): 775–780
王涛, 张艳, 张永生, 潘申林. 2013. 高分辨率遥感卫星传感器严格成像模型的建立及验证. 遥感学报, 17(5): 1087–1102
Wang T, Zhang Y, Zhang Y S and Pan S L. 2013. Construction and validation of rigorous imaging model for high-resolution remote sensing satellites. Journal of Remote Sensing, 17(5): 1087–1102
汪韬阳, 张过, 李德仁, 江万寿, 唐新明, 刘学林. 2014. 资源三号测绘卫星影像平面和立体区域网平差比较. 测绘学报, 43(4): 389–395, 403
Wang T Y, Zhang G, Li D R, Jiang W S, Tang X M and Liu X L. 2014. Comparison between plane and stereo block adjustment for ZY-3 satellite images. Acta Geodaetica et Cartographica Sinica, 43(4): 389–395, 403
张浩, 张过, 蒋永华, 汪韬阳. 2016. 以SRTM-DEM为控制的光学卫星遥感立体影像正射纠正. 测绘学报, 45(3): 326–331, 378
Zhang H, Zhang G, Jiang Y H and Wang T Y. 2016. A SRTM-DEM-controlled ortho-rectification method for optical satellite remote sensing stereo images. Acta Geodaetica et Cartographica Sinica, 45(3): 326–331, 378
张永生, 刘军, 巩丹超. 2004. 高分辨率遥感卫星应用. 北京: 科学出版社
Zhang Y S, Liu J and Gong D C. 2004. Application of High-Resolution Remote Sensing Satellites. Beijing: Science Press
张祖勋, 张永军. 2012. 利用国产卫星影像构建我国地理空间信息. 测绘地理信息, 37(5): 7–9
Zhang Z X and Zhang Y J. 2012. Building geospatial information of China with domestic satellite imagery. Journal of Geomatics, 37(5): 7–9
周平, 唐新民, 曹宁, 王霞, 李国元, 张恒. 2016. SRTM约束的无地面控制立体影像区域网平差. 测绘学报, 45(11): 1318–1327
Zhou P, Tang X M, Cao N, Wang X, Li G Y and Zhang H. 2016. SRTM-aided stereo image block adjustment without ground control points. Acta Geodaetica et Cartographica Sinica, 45(11): 1318–1327
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