| Deep learning for the detection and phase unwrapping of mining-induced deformation in large-scale interferograms Z Wu, T Wang, Y Wang, R Wang, D Ge IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2021 | 56 | 2021 |
| Deep-learning-based phase discontinuity prediction for 2-D phase unwrapping of SAR interferograms Z Wu, T Wang, Y Wang, R Wang, D Ge IEEE transactions on geoscience and remote sensing 60, 1-16, 2021 | 33 | 2021 |
| A deep learning based method for local subsidence detection and InSAR phase unwrapping: Application to mining deformation monitoring Z Wu, H Zhang, Y Wang, T Wang, R Wang IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 15 | 2020 |
| Image-based baseline correction method for spaceborne InSAR with external DEM Q Yang, J Wang, Y Wang, P Lu, H Jia, Z Wu, L Li, Y Zan, R Wang IEEE Transactions on Geoscience and Remote sensing 61, 1-16, 2023 | 14 | 2023 |
| Stereo-radargrammetry assisted InSAR phase unwrapping method for DEM generation Y Wu, H Zhang, J Wang, R Wang, F Zhao, Z Wu, Y Cai IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022 | 6 | 2022 |
| A deep-learning-facilitated, detection-first strategy for operationally monitoring localized deformation with large-scale InSAR T Wang, Q Zhang, Z Wu Remote Sensing 15 (9), 2310, 2023 | 5 | 2023 |
| A new phase unwrapping method combining minimum cost flow with deep learning Z Wu, T Wang, Y Wang, D Ge 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3177 …, 2021 | 5 | 2021 |
| Unwrapping SAR interferograms with localized subsidence signal using deep neural network Z Wu, T Wang, R Wang EUSAR 2021; 13th European Conference on Synthetic Aperture Radar, 1-5, 2021 | 2 | 2021 |
| Deep learning facilitated local deformation monitoring with large-scale SAR interferometry T Wang, H Luo, Z Wu, L Fu, Q Zhang EGU General Assembly Conference Abstracts, EGU21-3722, 2021 | | 2021 |
| Two-dimensional phase unwrapping integrating deep learning and minimal cost flow Z Wu, T Wang, Y Wang, D Ge EGU General Assembly Conference Abstracts, EGU21-3878, 2021 | | 2021 |
Robert WangInstitute of Electronics of the Chinese Academy of SciencesVahvistettu sähköpostiosoite verkkotunnuksessa mail.ie.ac.cn