Mappping Digital Image Texture onto 3d Model from Lidar Data
نویسنده
چکیده
In this paper, an experiment system is developed to settle the problem about how to mapping a digital image onto 3D model from LIDAR data. Firstly, it chooses the corresponding points between point cloud and digital image, then, uses these corresponding points to calculate the exterior and interior orientation elements and systematic error corrections of image. For the purpose of improving the precision of these parameters, paper uses the iterative least squares computational method. The digital image comes from non-metric camera, and the initial values of orientation elements can not been obtained, so, paper replaces the collinearity equation of photogrammetry to calculate these parameters with the DLT. Finally, by using the texture mapping technology, paper maps the corresponding image onto point cloud model and TIN model, makes out textured point cloud model and textured TIN model. At the same time, it projects this image to the basic level of range image to make out orthophoto map.
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