| Data fusion and remote sensing - an ever-growing relationship M Schmitt, XX Zhu IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016 | 223 | 2016 |
| SEN12MS - A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion M Schmitt, LH Hughes, C Qiu, XX Zhu ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 166 | 2019 |
| Identifying corresponding patches in SAR and optical images with a pseudo-siamese CNN LH Hughes, M Schmitt, L Mou, Y Wang, XX Zhu IEEE Geoscience and Remote Sensing Letters 15 (5), 784-788, 2018 | 161 | 2018 |
| Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion A Meraner, P Ebel, XX Zhu, M Schmitt ISPRS Journal of Photogrammetry and Remote Sensing 166, 333-346, 2020 | 149 | 2020 |
| The SEN1-2 dataset for deep learning in SAR-optical data fusion M Schmitt, LH Hughes, XX Zhu ISPRS Technical Commission I Symposium, 2018 | 147 | 2018 |
| 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 | 115* | 2019 |
| Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network C Qiu, L Mou, M Schmitt, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 154, 151-162, 2019 | 102 | 2019 |
| A Conditional Generative Adversarial Network to Fuse SAR And Multispectral Optical Data For Cloud Removal From Sentinel-2 Images C Grohnfeldt, M Schmitt, X Zhu IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 95 | 2018 |
| SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks—Optimization, Opportunities and Limits M Fuentes Reyes, S Auer, N Merkle, C Henry, M Schmitt Remote Sensing 11 (17), 2067, 2019 | 94 | 2019 |
| A deep learning framework for matching of SAR and optical imagery LH Hughes, D Marcos, S Lobry, D Tuia, M Schmitt ISPRS Journal of Photogrammetry and Remote Sensing 169, 166-179, 2020 | 59 | 2020 |
| Mapping the land cover of Africa at 10 m resolution from multi-source remote sensing data with Google Earth Engine Q Li, C Qiu, L Ma, M Schmitt, XX Zhu Remote Sensing 12 (4), 602, 2020 | 58 | 2020 |
| Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets C Qiu, M Schmitt, L Mou, P Ghamisi, XX Zhu Remote Sensing 10 (10), 1572, 2018 | 58 | 2018 |
| Multisensor data fusion for cloud removal in global and all-season sentinel-2 imagery P Ebel, A Meraner, M Schmitt, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 59 (7), 5866-5878, 2020 | 57 | 2020 |
| Analysing changes of the Poyang Lake water area using Sentinel-1 synthetic aperture radar imagery L Zeng, M Schmitt, L Li, XX Zhu International Journal of Remote Sensing 38 (23), 7041-7069, 2017 | 56 | 2017 |
| Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution THK Chen, C Qiu, M Schmitt, XX Zhu, CE Sabel, AV Prishchepov Remote Sensing of Environment 251, 112096, 2020 | 54 | 2020 |
| Maximum-likelihood-based approach for single-pass synthetic aperture radar tomography over urban areas M Schmitt, U Stilla IET Radar, Sonar & Navigation 8 (9), 1145-1153, 2014 | 52 | 2014 |
| Compressive Sensing Based Layover Separation in Airborne Single-Pass Multi-Baseline InSAR Data M Schmitt, U Stilla IEEE Geoscience and Remote Sensing Letters 10 (2), 313-317, 2013 | 52 | 2013 |
| A CNN for the Identification of Corresponding Patches in SAR and Optical Imagery of Urban Scenes L Mou, M Schmitt, Y Wang, X Zhu 2017 Joint Urban Remote Sensing Event, 2017 | 48 | 2017 |
| Mining hard negative samples for SAR-optical image matching using generative adversarial networks LH Hughes, M Schmitt, XX Zhu Remote Sensing 10 (10), 1552, 2018 | 46 | 2018 |
| Fusion of SAR and optical remote sensing data - challenges and recent trends M Schmitt, F Tupin, XX Zhu IEEE Geoscience and Remote Sensing Symposium (IGARSS 2017), 5458-5461, 2017 | 44 | 2017 |
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
