关注
Weiying Zhao
Weiying Zhao
Deep Planet
在 ucl.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
922019
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
82018
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
82015
Multitemporal SAR images denoising and change detection: applications to Sentinel-1 data
W Zhao
Université Paris Saclay (COmUE), 2019
52019
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
52015
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
32023
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
22020
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
22017
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
22016
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
22015
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
22015
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
22012
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
12015
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
12015
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
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