Menghui Jiang

Orcid: 0000-0003-4814-7514

According to our database1, Menghui Jiang authored at least 14 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A physics-constrained machine learning method for mapping gapless land surface temperature.
CoRR, 2023

2022
Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Pansharpening Based on a Cycle-Consistent Generative Adversarial Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Cycle GAN Based Heterogeneous Spatial-Spectral Fusion for Soil Moisture Downscaling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Physics-Based GAN With Iterative Refinement Unit for Hyperspectral and Multispectral Image Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner.
Remote. Sens., 2021

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images.
CoRR, 2021

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion.
CoRR, 2021

A Deep Learning-Based Heterogeneous Spatio-Temporal-Spectral Fusion: SAR and Optical Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

2019
Spatial-Spectral Fusion by Combining Deep Learning and Variational Model.
IEEE Trans. Geosci. Remote. Sens., 2019

Differential Information Residual Convolutional Neural Network for Pansharpening.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model.
CoRR, 2018


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