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《Science of Surveying and Mapping》 2015-06
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Three-dimensional reconstruction based on multi-source high resolution remote sensing images

KANG Yong-hui;DAI Ji-guang;SONG Wei-dong;ZHANG Yong-hong;School of Geomatics,Liaoning Technical University;Chinese Academy of Surveying and Mapping;  
It is difficult to obtain homologous high resolution remote sensing images in practical applications due to natural,technological and other factors.There are still some difficulties to achieve high-precision and automated three-dimensional reconstruction by using homologous high resolution images.Therefore,this paper proposed a three-dimensional reconstruction method by multi-source high resolution remote sensing images.Firstly,SIFT algorithm was used to match images in order to get corresponding points,and then RANSAC algorithm was used to embed the low-precision matching points;secondly,Delaunay triangulation was built by homogony points;then three-dimensional coordinates of each corresponding points were calculated based on inverse rational function model and projection rays stereoscopic positioning algorithm;finally,elevation values of ground feature points were obtained by Delaunay triangulation interpolation technique and three-dimensional result was displayed by OpenGL technology.The experimental results showed that this method could achieve the three-dimensional reconstruction of multi-source high resolution remote sensing images,and the precision could meet practical requirements.
【Fund】: 国家自然科学基金项目(41101452)
【CateGory Index】: TP751
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