Automated Recognition of Railroad Infrastructure in Rural Areas from LIDAR Data
This study is aimed at developing automated methods to recognize railroad infrastructure from 3D LIDAR data. Railroad infrastructure includes rail tracks, contact cables, catenary cables, return current cables, masts, and cantilevers. The LIDAR dataset used in this study is acquired by placing an Op...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-11-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/7/11/14916 |