Meng Xu

Orcid: 0000-0002-4056-7787

Affiliations:
  • Shenzhen University, Shenzhen, China
  • University of New South Wales, Canberra, ACT, Australia (former)


According to our database1, Meng Xu authored at least 32 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Graph-in-Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
AACNet: Asymmetric Attention Convolution Network for Hyperspectral Image Dehazing.
IEEE Trans. Geosci. Remote. Sens., 2023

Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

Diffused Convolutional Neural Network for Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

Structure-Adaptive Convolutional Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Stereo Cross-Attention Network for Unregistered Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Denoising via Robust Subspace Estimation and Group Sparsity Constraint.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiview Spatial-Spectral Active Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2022

Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

A Semisupervised Siamese Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-Image Changes.
IEEE Trans. Geosci. Remote. Sens., 2022

Sparsity Constrained Fusion of Hyperspectral and Multispectral Images.
IEEE Geosci. Remote. Sens. Lett., 2022

A Center-Masked Convolutional Transformer for Hyperspectral Image Classification.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

A Lightweight Convolutional Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization.
IEEE Trans. Geosci. Remote. Sens., 2021

A survey: Deep learning for hyperspectral image classification with few labeled samples.
Neurocomputing, 2021

Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution.
CoRR, 2021

2020
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

2019
3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

Statistical Fusion-Based Transfer Learning for Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2016
Thin Cloud Removal Based on Signal Transmission Principles and Spectral Mixture Analysis.
IEEE Trans. Geosci. Remote. Sens., 2016

Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning.
IEEE Trans. Geosci. Remote. Sens., 2016

Spectral unmixing for fire smoke detection and removal.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Cloud effects removal via sparse representation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Automatic cloud removal for Landsat 8 OLI images using cirrus band.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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