Xinxin Liu

Orcid: 0000-0003-2739-2334

Affiliations:
  • Hunan University, College of Electrical and Information Engineering, Changsha, China


According to our database1, Xinxin Liu authored at least 18 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
Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023
From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Combining Time-Series Variation Modeling and Fuzzy Spatiotemporal Feature Fusion: A Novel Approach for Unsupervised Flood Mapping Using Dual-Polarized Sentinel-1 SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Transformer Meets GAN: Cloud-Free Multispectral Image Reconstruction via Multisensor Data Fusion in Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2023

An Optimization-Driven Network With Knowledge Prior Injection for HSI Denoising.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A Fast and Effective Irregular Stripe Removal Method for Moon Mineralogy Mapper (M<sup>3</sup>).
IEEE Trans. Geosci. Remote. Sens., 2022

UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images.
IEEE Trans. Geosci. Remote. Sens., 2022

One-Step High-Quality NDVI Time-Series Reconstruction by Joint Modeling of Gradual Vegetation Change and Negatively Biased Atmospheric Contamination.
IEEE Trans. Geosci. Remote. Sens., 2022

The Influence of Image Degradation on Hyperspectral Image Classification.
Remote. Sens., 2022

IRCNN: An Irregular-Time-Distanced Recurrent Convolutional Neural Network for Change Detection in Satellite Time Series.
IEEE Geosci. Remote. Sens. Lett., 2022

DsTer: A dense spectral transformer for remote sensing spectral super-resolution.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2019
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network.
IEEE Trans. Geosci. Remote. Sens., 2019

Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties.
IEEE Trans. Geosci. Remote. Sens., 2019

Hyperspectral image denoising with bilinear low rank matrix factorization.
Signal Process., 2019

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

2018
A Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods.
IEEE Trans. Geosci. Remote. Sens., 2018

Oblique Stripe Removal in Remote Sensing Images via Oriented Variation.
CoRR, 2018

2016
Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties.
IEEE Trans. Geosci. Remote. Sens., 2016


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