| Classification of land cover and land use based on convolutional neural networks C Yang, F Rottensteiner, C Heipke ISPRS annals of the photogrammetry, remote sensing and spatial information …, 2018 | 62 | 2018 |
| Towards better classification of land cover and land use based on convolutional neural networks C Yang, F Rottensteiner, C Heipke The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 19 | 2019 |
| A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases C Yang, F Rottensteiner, C Heipke ISPRS Journal of Photogrammetry and Remote Sensing 177, 38-56, 2021 | 17 | 2021 |
| Security event recognition for visual surveillance W Liao, C Yang, M Ying Yang, B Rosenhahn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 16 | 2017 |
| Investigations on skip-connections with an additional cosine similarity loss for land cover classification C Yang, F Rottensteiner, C Heipke ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 11 | 2020 |
| Multi-scale building maps from aerial imagery Y Feng, C Yang, M Sester ISPRS Archives; 43, B3 43 (B3), 41-47, 2020 | 8 | 2020 |
| Security event recognition for visual surveillance MY Yang, W Liao, C Yang, Y Cao, B Rosenhahn arXiv preprint arXiv:1810.11348, 2018 | 3 | 2018 |
| Automatic classification of aerial imagery for urban hydrological applications A Paul, C Yang, U Breitkopf, Y Liu, Z Wang, F Rottensteiner, M Wallner, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 3 | 2018 |
| Identifying the Driving Factors of Population Exposure to Fine Particulate Matter (PM2. 5) In Wuhan, China C Yang, Q Zhan, Y Xiao, H Liu ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 2 | 2020 |
| Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks C Yang, F Rottensteiner, C Heipke ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 2 | 2020 |
| IMPROVING THE CLASSIFICATION OF LAND USE OBJECTS USING DENSE CONNECTIVITY OF CONVOLUTIONAL NEURAL NETWORKS CH A. Gujrathi, C. Yang, F. Rottensteiner, K. M. Buddhiraju Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 667–673, 2020 | 2* | 2020 |
| Multi-Scale Feature Reconstruction and Inter-Class Attention Weighting for Land Cover Classification Z Zhan, Z Xiong, X Huang, C Yang, Y Liu, X Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 1 | 2023 |
| A hierarchical deep learning framework towards the verification of geospatial databases C Yang https://dgk.badw.de/fileadmin/user_upload/Files/DGK/docs/c-883.pdf, 2022 | | 2022 |
| CNN-based multi-scale hierarchical land use classification for the verification of geospatial databases C Yang, F Rottensteiner, C Heipke The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | | 2021 |
| ANALYSE VON GEODATEN ZUR REDUKTION VON UNSICHERHEITEN IN DER URBANHYDROLOGISCHEN MODELLIERUNG BB Markus Wallner, Alexander Verworn,Sara De Toffol,Carlos Guevara,Andreas ... Tag der Hydrologie 2019, 2019 | | 2019 |
Christian HeipkeProfessor in photogrammetry and remote sensing, Leibniz Universität Hannover, GermanyVerified email at ipi.uni-hannover.de
