| Automatic clearance anomaly detection for transmission line corridors utilizing UAV-Borne LIDAR data C Chen, B Yang, S Song, X Peng, R Huang Remote Sensing 10 (4), 613, 2018 | 103 | 2018 |
| Ultrasensitive and selective detection of SARS-CoV-2 using thermotropic liquid crystals and image-based machine learning Y Xu, AM Rather, S Song, JC Fang, RL Dupont, UI Kara, Y Chang, ... Cell Reports Physical Science 1 (12), 2020 | 65 | 2020 |
| Calibrate multiple consumer RGB-D cameras for low-cost and efficient 3D indoor mapping C Chen, B Yang, S Song, M Tian, J Li, W Dai, L Fang Remote Sensing 10 (2), 328, 2018 | 59 | 2018 |
| Remote sensing object detection in the deep learning era—a review S Gui, S Song, R Qin, Y Tang Remote Sensing 16 (2), 327, 2024 | 46 | 2024 |
| Automatic power lines extraction method from airborne LiDAR point cloud C Chen, X Mai, S Song, X Peng, W Xu, K Wang Geomatics and Information Science of Wuhan University 40 (12), 1600-1605, 2015 | 45* | 2015 |
| Active and low-cost hyperspectral imaging for the spectral analysis of a low-light environment Y Tang, S Song, S Gui, W Chao, C Cheng, R Qin Sensors 23 (3), 1437, 2023 | 41 | 2023 |
| Point cloud registration for LiDAR and photogrammetric data: A critical synthesis and performance analysis on classic and deep learning algorithms N Xu, R Qin, S Song ISPRS open journal of photogrammetry and remote sensing 8, 100032, 2023 | 35 | 2023 |
| Safety distance diagnosis of large scale transmission line corridor inspection based on LiDAR point cloud collected with UAV C Chen, X Peng, S Song, K Wang, J Qian, B Yang Power System Technology 41 (08), 2723-2730, 2017 | 33* | 2017 |
| A volumetric change detection framework using UAV oblique photogrammetry–a case study of ultra-high-resolution monitoring of progressive building collapse N Xu, D Huang, S Song, X Ling, C Strasbaugh, A Yilmaz, H Sezen, R Qin International Journal of Digital Earth 14 (11), 1705-1720, 2021 | 16 | 2021 |
| Vis2mesh: Efficient mesh reconstruction from unstructured point clouds of large scenes with learned virtual view visibility S Song, Z Cui, R Qin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| Research on automatic positioning algorithm of power transmission towers based on UAV LiDAR X Peng, S Song, J Qian, C Chen, K Wang, Y Yang, X Zheng Power System Technology 41 (11), 3670-3677, 2017 | 15* | 2017 |
| Low cost and efficient 3D indoor mapping using multiple consumer RGB-D cameras C Chen, B Yang, S Song The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 13 | 2016 |
| Measurement and calculation methods of volume and surface area of tree crown based on terrestrial 3D laser scanning system H Xie, Y Zhao, M Yang, C Li, Z Li, S Song, J Deng Journal of Central South University of Forestry & Technology 35 (4), 1-6, 2015 | 8* | 2015 |
| 3D reconstruction through fusion of cross-view images R Qin, S Song, X Ling, M Elhashash Recent Advances in Image Restoration with Applications to Real World …, 2020 | 6 | 2020 |
| 3D feature extraction of power transmission corridor based on airborne lidar point clouds S Song Wuhan University, 2017 | 6* | 2017 |
| CNN-based place recognition technique for LIDAR SLAM Y Yang, S Song, C Toth The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 4 | 2020 |
| Optimizing mesh reconstruction and texture mapping generated from a combined side-view and over-view imagery S Song, R Qin ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 4 | 2020 |
| Large Field of View Array System Using Low Cost RGB-D Cameras S Song, C Chen, B Yang, Q Li Geomatics and Information Science of Wuhan University 43 (9), 1391-1398, 2018 | 4* | 2018 |
| 3D High-efficiency and High-precision Modeling for Power Transmission Tower based on All-factor Component Model X Zheng, C Chen, K Wang, S Song, J Qian, B Yang Guangdong Electric Power 30 (06), 94-97+ 131, 2017 | 4* | 2017 |
| Tree crown volume algorithm based on non-prism total station H Xie, Y Zhao, M Yang, C Li, Z Li, S Song, J Deng, J Yang, X Lin Journal of Central South University of Forestry & Technology 34, 12-17, 2014 | 4* | 2014 |
Rongjun QinThe Ohio State University在 osu.edu 的电子邮件经过验证
