Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039
All authors of the published article [...]
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doaj-f9470302069143afb582816c6bb656da2020-11-25T01:31:51ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-09-018940210.3390/ijgi8090402ijgi8090402Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039Zhiqiang Li0Chengqi Cheng1Mei-Po Kwan2Xiaochong Tong3Shaohong Tian4Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, ChinaCollege of Engineering, Peking University, Beijing 100871, ChinaDepartment of Geography and Resource Management, and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong KongZhengzhou Institute of Surveying and Mapping, Zhengzhou 450001, ChinaInstitute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, ChinaAll authors of the published article [...]https://www.mdpi.com/2220-9964/8/9/402n/a |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhiqiang Li Chengqi Cheng Mei-Po Kwan Xiaochong Tong Shaohong Tian |
spellingShingle |
Zhiqiang Li Chengqi Cheng Mei-Po Kwan Xiaochong Tong Shaohong Tian Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 ISPRS International Journal of Geo-Information n/a |
author_facet |
Zhiqiang Li Chengqi Cheng Mei-Po Kwan Xiaochong Tong Shaohong Tian |
author_sort |
Zhiqiang Li |
title |
Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 |
title_short |
Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 |
title_full |
Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 |
title_fullStr |
Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 |
title_full_unstemmed |
Retraction: Li et al. Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud Data and Random Forest Classification. <i>ISPRS Int. J. Geo-Inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 |
title_sort |
retraction: li et al. identifying asphalt pavement distress using uav lidar point cloud data and random forest classification. <i>isprs int. j. geo-inf.</i> 2019, <i>8</i>, 39, doi.org/10.3390/ijgi8010039 |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2019-09-01 |
description |
All authors of the published article [...] |
topic |
n/a |
url |
https://www.mdpi.com/2220-9964/8/9/402 |
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