| Unmanned aerial vehicle for remote sensing applications—A review H Yao, R Qin, X Chen Remote Sensing 11 (12), 1443, 2019 | 661 | 2019 |
| 3D change detection–approaches and applications R Qin, J Tian, P Reinartz ISPRS Journal of Photogrammetry and Remote Sensing 122, 41-56, 2016 | 286 | 2016 |
| Multi-level monitoring of subtle urban changes for the megacities of China using high-resolution multi-view satellite imagery X Huang, D Wen, J Li, R Qin Remote sensing of environment 196, 56-75, 2017 | 208 | 2017 |
| 3D change detection at street level using mobile laser scanning point clouds and terrestrial images R Qin, A Gruen ISPRS Journal of Photogrammetry and Remote Sensing 90, 23-35, 2014 | 111 | 2014 |
| An object-based hierarchical method for change detection using unmanned aerial vehicle images R Qin Remote Sensing 6 (9), 7911-7932, 2014 | 93 | 2014 |
| Change detection on LOD 2 building models with very high resolution spaceborne stereo imagery R Qin ISPRS journal of photogrammetry and remote sensing 96, 179-192, 2014 | 85 | 2014 |
| Building change detection using old aerial images and new LiDAR data S Du, Y Zhang, R Qin, Z Yang, Z Zou, Y Tang, C Fan Remote Sensing 8 (12), 1030, 2016 | 83 | 2016 |
| Rpc stereo processor (rsp)–a software package for digital surface model and orthophoto generation from satellite stereo imagery R Qin ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 77 | 2016 |
| Classification of ultra-high resolution orthophotos combined with DSM using a dual morphological top hat profile Q Zhang, R Qin, X Huang, Y Fang, L Liu Remote Sensing 7 (12), 16422-16440, 2015 | 77 | 2015 |
| A review of mobile mapping systems: From sensors to applications M Elhashash, H Albanwan, R Qin Sensors 22 (11), 4262, 2022 | 76 | 2022 |
| 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 | 75 | 2024 |
| A hierarchical building detection method for very high resolution remotely sensed images combined with DSM using graph cut optimization R Qin, W Fang Photogrammetric Engineering & Remote Sensing 80 (9), 873-883, 2014 | 75 | 2014 |
| A review of landcover classification with very-high resolution remotely sensed optical images—Analysis unit, model scalability and transferability R Qin, T Liu Remote Sensing 14 (3), 646, 2022 | 72 | 2022 |
| Geometry-aware satellite-to-ground image synthesis for urban areas X Lu, Z Li, Z Cui, MR Oswald, M Pollefeys, R Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 72 | 2020 |
| Spatial temporal analysis of traffic patterns during the COVID-19 epidemic by vehicle detection using planet remote-sensing satellite images Y Chen, R Qin, G Zhang, H Albanwan Remote Sensing 13 (2), 208, 2021 | 69 | 2021 |
| Object-based 3-D building change detection on multitemporal stereo images R Qin, X Huang, A Gruen, G Schmitt IEEE Journal of Selected topics in applied Earth observations and Remote …, 2015 | 69 | 2015 |
| 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 | 68 | 2020 |
| Global land-cover mapping with weak supervision: Outcome of the 2020 IEEE GRSS data fusion contest C Robinson, K Malkin, N Jojic, H Chen, R Qin, C Xiao, M Schmitt, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 62 | 2021 |
| A critical analysis of satellite stereo pairs for digital surface model generation and a matching quality prediction model R Qin ISPRS Journal of Photogrammetry and Remote Sensing 154, 139-150, 2019 | 62 | 2019 |
| 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 | 56 | 2023 |
Peter ReinartzHead of Department at German Aerospace Center (DLR), Prof. at University of OsnabrueckVerified email at dlr.de
