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Utility pole extraction processing from point cloud data from 3D measurement and its applications

In this study, we propose a method to automatically remove utility poles and electric parts from 3D measurement data of shopping streets and roads, and be used for the landscape simulation of underground utility poles construction at Suehiro-cho of Miyako City. In this method, utility poles were stably extracted automatically by using plural rectangular volumes, Hough transform, and two-dimensional Gaussian function. The efficiency of processing is improved by five times compared with the interactive method of removing the utility poles and the electric parts by the dialogue processing.