| Ratio-based multitemporal SAR images denoising: RABASAR W Zhao, CA Deledalle, L Denis, H Maître, JM Nicolas, F Tupin IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3552-3565, 2019 | 92 | 2019 |
| RABASAR: A fast ratio based multi-temporal SAR despeckling W Zhao, CA Deledalle, L Denis, H Maître, JM Nicolas, F Tupin IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 8 | 2018 |
| 基于 D-InSAR 技术和灰色 Verhulst 模型的矿区沉降监测与预计 杨俊凯， 范洪冬， 赵伟颖， 冯军 金属矿山, 143-147, 2015 | 8 | 2015 |
| Multitemporal SAR images denoising and change detection: applications to Sentinel-1 data W Zhao Université Paris Saclay (COmUE), 2019 | 5 | 2019 |
| 基于 SBAS 技术的采动区形变对建筑物的影响监测 赵伟颖， 邓喀中， 杨俊凯， 范洪冬 煤矿安全 46 (2), 205-208, 2015 | 5 | 2015 |
| Soil organic carbon estimation from climate-related features with graph neural network W Zhao, N Efremova NeurIPS 2023 workshop: Tackling Climate Change with Machine Learning, 2023 | 3 | 2023 |
| Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network W Zhao, F Yin, H Ma, Q Wu, J Gomez-Dans, P Lewis arXiv preprint arXiv:2307.07434, 2020 | 2 | 2020 |
| Urban area change detection based on generalized likelihood ratio test W Zhao, S Lobry, H Maitre, JM Nicolas, F Tupin 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 2 | 2017 |
| 基于 SBAS 的采动区高速路沉降监测与分析 严剑锋， 杨俊凯， 赵伟颖， 殷建 测绘通报, 148-149, 2016 | 2 | 2016 |
| 面向矿区沉降监测的 InSAR 技术应用研究 赵伟颖 徐州: 中国矿业大学, 2015 | 2 | 2015 |
| 基于 D-InSAR 与概率积分法的开采沉陷监测与预计 杨俊凯， 陈炳乾， 邓喀中， 何强， 赵伟颖 金属矿山, 195-200, 2015 | 2 | 2015 |
| 极化 SAR 监督分类方法对植被分类效果比较分析 赵伟颖 第九届长三角科技论坛 (测绘分论坛) 论文集, 2012 | 2 | 2012 |
| 基于 D-InSAR 和概率积分法的矿区沉降预计 杨俊凯， 邓喀中， 赵伟颖， 陈华， 冯军 煤炭技术, 108-110, 2015 | 1 | 2015 |
| DEM 精度在 DInSAR 监测采空区沉降中的影响 赵伟颖， 邓喀中， 杨俊凯， 范洪冬 煤炭工程 47 (3), 90-92, 2015 | 1 | 2015 |
| Prediction of Sentinel-2 multi-band imagery with attention BiLSTM for continuous earth surface monitoring W Zhao, N Efremova arXiv preprint arXiv:2407.00834, 2024 | | 2024 |
| Soil nitrogen forecasting from environmental variables provided by multisensor remote sensing images W Zhao, G Chuluunbat, A Unagaev, N Efremova IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024 | | 2024 |
| Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model W Zhao, N Efremova ICLR 2024 Workshop: Tackling Climate Change with Machine Learning, 2024 | | 2024 |
| Vineyard detection from multitemporal Sentinel-2 images with a Transformer model W Zhao, A Unagaev, N Efremova EGU24, 2024 | | 2024 |
| Methodological approaches to identifying and mapping of fields of specific crops on a basis of high-resolution satellite images using phenological, geographic and regional … A Unagaev, W Zhao, N Efremova Authorea Preprints, 2023 | | 2023 |
| Patch-based adaptive temporal filter and residual evaluation W Zhao, P Riot, CA Deledalle, H Maître, JM Nicolas, F Tupin arxiv.org/abs/2402.09561, 2019 | | 2019 |
