HIGHLIGHTS
- who: Forest Classification and collaborators from the Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China have published the paper: Geo-Information Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random, in the Journal: (JOURNAL) of June/23,/2017
- what: The authors explored the feasibility of pavement distress identification using low-altitude unmanned aerial vehicle light detection and ranging (UAV LiDAR) and random Xinjiang Province of China. The aim of this study is to develop a pavement distress identification approach for the asphalt pavement using LiDAR point cloud data . . .
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