| Deep learning meets SAR: Concepts, models, pitfalls, and perspectives XX Zhu, S Montazeri, M Ali, Y Hua, Y Wang, L Mou, Y Shi, F Xu, R Bamler IEEE Geoscience and Remote Sensing Magazine 9 (4), 143-172, 2021 | 323 | 2021 |
| 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 | 127 | 2020 |
| Building segmentation through a gated graph convolutional neural network with deep structured feature embedding Y Shi, Q Li, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 159, 184-197, 2020 | 127 | 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 | 122 | 2022 |
| Building footprint generation by integrating convolution neural network with feature pairwise conditional random field (FPCRF) Q Li, Y Shi, X Huang, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (11), 7502-7519, 2020 | 88 | 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 | 84 | 2019 |
| Earthnets: Empowering ai in earth observation Z Xiong, F Zhang, Y Wang, Y Shi, XX Zhu arXiv preprint arXiv:2210.04936, 2022 | 77 | 2022 |
| GLF-CR: SAR-enhanced cloud removal with global–local fusion F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 192, 268-278, 2022 | 77 | 2022 |
| Nonlocal Compressive Sensing-Based SAR Tomography Y Shi, XX Zhu, R Bamler IEEE Transactions on Geoscience and Remote Sensing 57 (5), 3015-3024, 2019 | 74 | 2019 |
| The outcome of the 2022 landslide4sense competition: Advanced landslide detection from multisource satellite imagery O Ghorbanzadeh, Y Xu, H Zhao, J Wang, Y Zhong, D Zhao, Q Zang, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 62 | 2022 |
| Building footprint generation using improved generative adversarial networks Y Shi, Q Li, XX Zhu IEEE Geoscience and Remote Sensing Letters 16 (4), 603-607, 2018 | 61 | 2018 |
| Adversarial shape learning for building extraction in VHR remote sensing images L Ding, H Tang, Y Liu, Y Shi, XX Zhu, L Bruzzone IEEE Transactions on Image Processing 31, 678-690, 2021 | 56 | 2021 |
| γ-Net: Superresolving SAR tomographic inversion via deep learning K Qian, Y Wang, Y Shi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 46 | 2022 |
| Semi-supervised bidirectional alignment for remote sensing cross-domain scene classification W Huang, Y Shi, Z Xiong, Q Wang, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 195, 192-203, 2023 | 41 | 2023 |
| Spaceborne staring spotlight SAR tomography—A first demonstration with TerraSAR-X N Ge, FR Gonzalez, Y Wang, Y Shi, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 40 | 2018 |
| Universal domain adaptation for remote sensing image scene classification Q Xu, Y Shi, X Yuan, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 39 | 2023 |
| Improving TanDEM-X DEMs by non-local InSAR filtering XX Zhu, R Bamler, M Lachaise, F Adam, Y Shi, M Eineder EUSAR 2014; 10th European Conference on Synthetic Aperture Radar, 1-4, 2014 | 36 | 2014 |
| A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR Y Shi, XX Zhu, W Yin, R Bamler IEEE Transactions on Geoscience and Remote Sensing 56 (10), 6148-6158, 2018 | 34 | 2018 |
| Building footprint generation through convolutional neural networks with attraction field representation Q Li, L Mou, Y Hua, Y Shi, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 32 | 2021 |
| Hybrid quantum-classical convolutional neural network model for image classification F Fan, Y Shi, T Guggemos, XX Zhu IEEE transactions on neural networks and learning systems, 2023 | 30 | 2023 |
Xiao Xiang ZhuTechnical University of Munich在 tum.de 的电子邮件经过验证