| A new method for segmenting individual trees from the lidar point cloud W Li, Q Guo, MK Jakubowski, M Kelly Photogrammetric Engineering & Remote Sensing 78 (1), 75-84, 2012 | 791 | 2012 |
| Effects of topographic variability and lidar sampling density on several DEM interpolation methods Q Guo, W Li, H Yu, O Alvarez Photogrammetric Engineering & Remote Sensing 76 (6), 701-712, 2010 | 387 | 2010 |
| Delineating Individual Trees from Lidar Data: A Comparison of Vector-and Raster-based Segmentation Approaches MK Jakubowski, W Li, Q Guo, M Kelly Remote Sensing 5 (9), 4163-4186, 2013 | 265 | 2013 |
| Analysis of the adverse health effects of PM2. 5 from 2001 to 2017 in China and the role of urbanization in aggravating the health burden X Lu, C Lin, W Li, Y Chen, Y Huang, JCH Fung, AKH Lau Science of The Total Environment 652, 683-695, 2019 | 226 | 2019 |
| A positive and unlabeled learning algorithm for one-class classification of remote-sensing data W Li, Q Guo, C Elkan IEEE Transactions on Geoscience and Remote Sensing 49 (2), 717-725, 2011 | 218 | 2011 |
| Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories S Tao, F Wu, Q Guo, Y Wang, W Li, B Xue, X Hu, P Li, D Tian, C Li, H Yao, ... ISPRS Journal of Photogrammetry and Remote Sensing 110, 66-76, 2015 | 215 | 2015 |
| A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data X Lu, Q Guo, W Li, J Flanagan ISPRS Journal of Photogrammetry and Remote Sensing 94, 1-12, 2014 | 210 | 2014 |
| Deep learning: individual maize segmentation from terrestrial lidar data using faster R-CNN and regional growth algorithms S Jin, Y Su, S Gao, F Wu, T Hu, J Liu, W Li, D Wang, S Chen, Y Jiang, ... Frontiers in plant science 9, 866, 2018 | 153 | 2018 |
| Can we model the probability of presence of species without absence data? W Li, Q Guo, C Elkan Ecography 34 (6), 1096-1105, 2011 | 102 | 2011 |
| How to assess the prediction accuracy of species presence–absence models without absence data? W Li, Q Guo Ecography 36 (7), 788-799, 2013 | 101 | 2013 |
| A maximum entropy approach to one-class classification of remote sensing imagery W Li, Q Guo International Journal of Remote Sensing 31 (8), 2227-2235, 2010 | 96 | 2010 |
| Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands S Tao, Q Guo, L Li, B Xue, M Kelly, W Li, G Xu, Y Su Agricultural and Forest Meteorology 198, 24-32, 2014 | 82 | 2014 |
| A New Accuracy Assessment Method for One-Class Remote Sensing Classification W Li, Q Guo IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4621 - 4632, 2014 | 78 | 2014 |
| SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery Y Su, Q Guo, Q Ma, W Li Remote Sensing 7 (9), 11202-11225, 2015 | 75 | 2015 |
| Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method Y Liu, AX Zhu, J Wang, W Li, G Hu, Y Hu Land use policy 88, 104188, 2019 | 52 | 2019 |
| VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes W Li, Q Guo, S Tao, Y Su Remote Sensing of Environment 206, 318-335, 2018 | 48 | 2018 |
| 激光雷达在森林生态系统监测模拟中的应用现状与展望 郭庆华， 刘瑾， 陶胜利， 薛宝林， 李乐， 徐光彩， 李文楷， 吴芳芳， 李玉美， ... 科学通报 (中文版) 59 (6), 459-478, 2014 | 48 | 2014 |
| One-class remote sensing classification: one-class vs. binary classifiers X Deng, W Li, X Liu, Q Guo, S Newsam International Journal of Remote Sensing 39 (6), 1890-1910, 2018 | 42 | 2018 |
| One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm Z Ao, Y Su, W Li, Q Guo, J Zhang Remote Sensing 9 (10), 1001, 2017 | 37 | 2017 |
| A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments H Guan, Y Su, X Sun, G Xu, W Li, Q Ma, X Wu, J Wu, L Liu, Q Guo ISPRS Journal of Photogrammetry and Remote Sensing 166, 82-94, 2020 | 36 | 2020 |
Qinghua GuoPeking UniversityVerified email at pku.edu.cn
