Zherong Wu

Orcid: 0000-0002-9536-1348

According to our database1, Zherong Wu authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023.
Int. J. Digit. Earth, December, 2024

Sequential Image Registration Algorithm Based on the PrePS Points Association for GNSS-Based InBSAR Systems.
IEEE Trans. Geosci. Remote. Sens., 2024

Efficient Management and Processing of Massive InSAR Images Using an HPC-Based Cloud Platform.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Automated surface melt detection over the Antarctic from Sentinel-1 imagery using deep learning.
Int. J. Appl. Earth Obs. Geoinformation, 2024

A context-structural feature decoupling change detection network for detecting earthquake-triggered damage.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Understanding spatially nonstationary effects of natural and human-induced factors on land subsidence based on multi-temporal InSAR and multi-source geospatial data: a case study in the Guangdong-Hong Kong-Macao Greater Bay Area.
Int. J. Digit. Earth, December, 2023

GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global-Local Attention.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Building risk monitoring and prediction using integrated multi-temporal InSAR and numerical modeling techniques.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Real-World DEM Super-Resolution Based on Generative Adversarial Networks for Improving InSAR Topographic Phase Simulation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Automatic Detection of Widely Distributed Local-Scale Subsidence Bowls in Rapidly Urbanizing Metropolitan Region Using Time-Series InSAR and Deep Learning Methods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


  Loading...