| So2Sat LCZ42: A benchmark data set for the classification of global local climate zones [Software and Data Sets] XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ... IEEE Geoscience and Remote Sensing Magazine 8 (3), 76-89, 2020 | 120 | 2020 |
| So2Sat LCZ42: A benchmark dataset for global local climate zones classification XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ... arXiv preprint arXiv:1912.12171, 2019 | 80 | 2019 |
| Lasdu: A large-scale aerial lidar dataset for semantic labeling in dense urban areas Z Ye, Y Xu, R Huang, X Tong, X Li, X Liu, K Luan, L Hoegner, U Stilla ISPRS International Journal of Geo-Information 9 (7), 450, 2020 | 76 | 2020 |
| Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global R Huang, Y Xu, D Hong, W Yao, P Ghamisi, U Stilla ISPRS Journal of Photogrammetry and Remote Sensing 163, 62-81, 2020 | 75 | 2020 |
| TUM-MLS-2016: An annotated mobile LiDAR dataset of the TUM city campus for semantic point cloud interpretation in urban areas J Zhu, J Gehrung, R Huang, B Borgmann, Z Sun, L Hoegner, M Hebel, ... Remote Sensing 12 (11), 1875, 2020 | 56 | 2020 |
| GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds R Huang, Y Xu, U Stilla ISPRS Journal of photogrammetry and remote sensing 177, 1-20, 2021 | 51 | 2021 |
| Semantics-aided 3D change detection on construction sites using UAV-based photogrammetric point clouds R Huang, Y Xu, L Hoegner, U Stilla Automation in Construction 134, 104057, 2022 | 49 | 2022 |
| Multi-scale local context embedding for LiDAR point cloud classification R Huang, D Hong, Y Xu, W Yao, U Stilla IEEE Geoscience and Remote Sensing Letters 17 (4), 721-725, 2019 | 48 | 2019 |
| Robust global registration of point clouds by closed-form solution in the frequency domain R Huang, Y Xu, W Yao, L Hoegner, U Stilla ISPRS Journal of Photogrammetry and Remote Sensing 171, 310-329, 2021 | 42 | 2021 |
| Classification of LiDAR point clouds using supervoxel-based detrended feature and perception-weighted graphical model Y Xu, Z Ye, W Yao, R Huang, X Tong, L Hoegner, U Stilla IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 42 | 2019 |
| Robust segmentation and localization of structural planes from photogrammetric point clouds in construction sites Y Xu, Z Ye, R Huang, L Hoegner, U Stilla Automation in Construction 117, 103206, 2020 | 41 | 2020 |
| Classification of settlement types from Tweets using LDA and LSTM R Huang, H Taubenböck, L Mou, XX Zhu IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 27 | 2018 |
| Temporal comparison of construction sites using photogrammetric point cloud sequences and robust phase correlation R Huang, Y Xu, L Hoegner, U Stilla Automation in Construction 117, 103247, 2020 | 17 | 2020 |
| Fast pairwise coarse registration between point clouds of construction sites using 2D projection based phase correlation R Huang, Z Ye, R Boerner, W Yao, Y Xu, U Stilla International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2019 | 13 | 2019 |
| Pairwise point cloud registration using graph matching and rotation-invariant features R Huang, W Yao, Y Xu, Z Ye, U Stilla IEEE Geoscience and Remote Sensing Letters, 2021 | 10 | 2021 |
| Large-scale block bundle adjustment of LROC NAC images for Lunar South Pole mapping based on topographic constraint C Chen, Z Ye, Y Xu, D Liu, R Huang, M Zhou, H Xie, X Tong IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 8 | 2023 |
| Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR R Huang, W Yao, Z Xu, L Cao, X Shen Computers and Electronics in Agriculture 202, 107420, 2022 | 8 | 2022 |
| Efficient estimation of 3D shifts between point clouds using low-frequency components of phase correlation R Huang, Y Xu, L Hoegner, U Stilla ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 7 | 2020 |
| So2Sat LCZ42: A benchmark dataset for global local climate zones classification. arXiv 2019 XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ... arXiv preprint arXiv:1912.12171, 0 | 7 | |
| So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [software and data set], IEEE Geoscience and Remote Sensing Magazine, 8, 76–89 XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ... | 6 | 2020 |
Yusheng XuTongji University, Technische Universität MünchenZweryfikowany adres z tum.de
