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针对在实际应用中难以获得同源高分辨率遥感影像,利用同源高分辨率影像实现高精度、自动化的三维重建仍存在一定困难的现状,该文提出一种利用异源高分辨率遥感影像进行三维重建的方法。采用尺度不变特征变换算法对影像进行匹配以获取同名点,并使用随机抽样一致性算法剔除低精度匹配点;然后利用获取的同名点构建Delaunay三角网;接着根据有理函数反解模型和投影射线联合定位算法解算各个同名点的三维坐标;最后基于Delaunay三角网内插技术求取地物点的高程值,并基于OpenGL技术实现三维显示。试验结果表明,利用该方法可以实现异源高分辨率遥感影像的三维重建,精度上能够满足生产需求。
In order to solve the problem that it is difficult to obtain homologous high-resolution remote sensing images in real applications and to realize high-precision and automated three-dimensional reconstruction using homologous high-resolution images, this paper proposes a new method that uses heterologous high-resolution remote sensing images Method for 3D reconstruction. The scale-invariant feature transform algorithm is used to match the image to obtain the same-name point, and the random sampling consistency algorithm is used to remove the low-precision matching point. Then, the Delaunay triangulation network is constructed by using the same name points obtained. Joint positioning algorithm to solve the three-dimensional coordinates of each point with the same name. Finally, based on the Delaunay triangulation interpolation technique, the elevation of the feature point is obtained and the 3D display is realized based on the OpenGL technology. The experimental results show that this method can realize the three-dimensional reconstruction of the high-resolution remote sensing images with high accuracy, and can meet the production requirements accurately.