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Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. ISPRS Int. J. Geo-Inf. 2019, 8, 39, doi.org/10.3390/ijgi8010039

1
Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China
2
College of Engineering, Peking University, Beijing 100871, China
3
Department of Geography and Resource Management, and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
4
Department of Human Geography and Spatial Planning, Utrecht University, Utrecht 3584 CB, The Netherlands
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Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(9), 402; https://doi.org/10.3390/ijgi8090402
Received: 28 August 2019 / Accepted: 1 September 2019 / Published: 11 September 2019
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Li, Z.; Cheng, C.; Kwan, M.-P.; Tong, X.; Tian, S. Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. ISPRS Int. J. Geo-Inf. 2019, 8, 39, doi.org/10.3390/ijgi8010039. ISPRS Int. J. Geo-Inf. 2019, 8, 402.

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