| Data fusion and remote sensing - an ever-growing relationship M Schmitt, XX Zhu IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016 | 250 | 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 | 202 | 2019 |
| 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 | 194 | 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 | 183 | 2018 |
| 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 | 180 | 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 | 141* | 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 | 120 | 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 | 114 | 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 | 114 | 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 | 78 | 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 | 74 | 2020 |
| 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 | 71 | 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 | 67 | 2018 |
| 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 | 65 | 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 | 64 | 2020 |
| The urban morphology on our planet–Global perspectives from space XX Zhu, C Qiu, J Hu, Y Shi, Y Wang, M Schmitt, H Taubenböck Remote Sensing of Environment 269, 112794, 2022 | 58 | 2022 |
| Wildfire Detection from Multisensor Satellite Imagery Using Deep Semantic Segmentation D Rashkovetsky, F Mauracher, M Langer, M Schmitt IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 54 | 2021 |
| 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 | 53 | 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 | 53 | 2013 |
| Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping--Challenges and Opportunities M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu arXiv preprint arXiv:2002.08254, 2020 | 52 | 2020 |
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
