Chaofan Zhou
Orcid: 0000-0003-0807-6539
According to our database1,
Chaofan Zhou
authored at least 23 papers
between 2017 and 2024.
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Bibliography
2024
Unraveling the Deformation and Water Storage Characteristics of Different Aquifer Groups by Integrating PS-InSAR Technology and a Spatial Correlation Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Land Subsidence Prediction and Analysis along Typical High-Speed Railways in the Beijing-Tianjin-Hebei Plain Area.
Remote. Sens., September, 2023
Frontiers Inf. Technol. Electron. Eng., February, 2023
Few-Shot Classification of Screen Defects With Class-Agnostic Mask and Context-Based Classifier.
IEEE Trans. Instrum. Meas., 2023
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.
Proceedings of the Database Systems for Advanced Applications, 2023
2022
Inversion of Groundwater Storage Variations Considering Lag Effect in Beijing Plain, from RadarSat-2 with SBAS-InSAR Technology.
Remote. Sens., 2022
Assessing Land Subsidence-Inducing Factors in the Shandong Province, China, by Using PS-InSAR Measurements.
Remote. Sens., 2022
2021
Three-Dimensional Surface Displacement of the Eastern Beijing Plain, China, Using Ascending and Descending Sentinel-1A/B Images and Leveling Data.
Remote. Sens., 2021
Combined GRACE and MT-InSAR to Assess the Relationship between Groundwater Storage Change and Land Subsidence in the Beijing-Tianjin-Hebei Region.
Remote. Sens., 2021
Correction: Min, S., et al. Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets. Remote Sensing 2020, 12, 3579.
Remote. Sens., 2021
Understanding the Influence of Building Loads on Surface Settlement: A Case Study in the Central Business District of Beijing Combining Multi-Source Data.
Remote. Sens., 2021
Investigating land subsidence and its causes along Beijing high-speed railway using multi-platform InSAR and a maximum entropy model.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China.
Remote. Sens., 2020
Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets.
Remote. Sens., 2020
Land Subsidence Prediction Induced by Multiple Factors Using Machine Learning Method.
Remote. Sens., 2020
Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method.
Remote. Sens., 2020
An Improved Multi-Sensor MTI Time-Series Fusion Method to Monitor the Subsidence of Beijing Subway Network during the Past 15 Years.
Remote. Sens., 2020
2019
Time-Series Evolution Patterns of Land Subsidence in the Eastern Beijing Plain, China.
Remote. Sens., 2019
Analysis of the Spatiotemporal Variation in Land Subsidence on the Beijing Plain, China.
Remote. Sens., 2019
Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis.
Remote. Sens., 2019
Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms.
Remote. Sens., 2018
2017
InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China.
Remote. Sens., 2017