Zhiwei Li

Orcid: 0000-0001-5635-8499

Affiliations:
  • Wuhan University, School of Resource and Environmental Sciences, China


According to our database1, Zhiwei Li authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Transferring Deep Models for Cloud Detection in Multisensor Images via Weakly Supervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

2021
Remote Sensing Image Classification Using Deep-Shallow Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Generating High-Quality and High-Resolution Seamless Satellite Imagery for Large-Scale Urban Regions.
Remote. Sens., 2020

2019
A Spatiotemporal Fusion Based Cloud Removal Method for Remote Sensing Images With Land Cover Changes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Thick Cloud Removal in High-Resolution Satellite Images Using Stepwise Radiometric Adjustment and Residual Correction.
Remote. Sens., 2019

Extracting urban water by combining deep learning and Google Earth Engine.
CoRR, 2019

2018
Deep learning based cloud detection for remote sensing images by the fusion of multi-scale convolutional features.
CoRR, 2018

2017
Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images".
CoRR, 2017

Cloud removal by fusing multi-source and multi-temporal images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Multi-feature combined cloud and cloud shadow detection in GF-1 WFV imagery.
CoRR, 2016

Automatic cloud and cloud shadow detection in GF-1 WFV imagery using multiple features.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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