Hongyi Liu

Orcid: 0000-0001-8941-4346

Affiliations:
  • Nanjing University of Science and Technology, Nanjing, China


According to our database1, Hongyi Liu authored at least 31 papers between 2014 and 2024.

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Bibliography

2024
Blind Unmixing Using Dispersion Model-Based Autoencoder to Address Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2024

Two-Stream Autoencoder-Based Hyperspectral Unmixing using Hapke Model.
Proceedings of the IGARSS 2024, 2024

2023
A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks.
Neural Networks, August, 2023

Spectral Variability Bayesian Unmixing for Hyperspectral Sequence in Wavelet Domain.
IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral image super-resolution based on a Linear and Intimate Mixing Model.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022
Bayesian Hyperspectral Image Super-Resolution in the Presence of Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2022

Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability.
IEEE Trans. Geosci. Remote. Sens., 2022

Coupled Tensor Block Term Decomposition with Superpixel-Based Graph Laplacian Regularization for Hyperspectral Super-Resolution.
Remote. Sens., 2022

Hyperspectral Unmixing with AutoEncoder Network in Wavelet Domain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Multi-Grained Attention Networks for Single Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-Scale Anomaly Detection in Hyperspectral Images Based on Sparse and Low Rank Representations.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

2020
Hyperspectral Image Recovery Using Non-Convex Low-Rank Tensor Approximation.
Remote. Sens., 2020

Multi-temporal hyperspectral images unmixing by mixed distribution considering smooth variation of abundance.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Multi-GPU Parallel Implementation of Spatial-Spectral Kernel Sparse Representation for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Hyperspectral Image Restoration Based on Low-Rank Recovery With a Local Neighborhood Weighted Spectral-Spatial Total Variation Model.
IEEE Trans. Geosci. Remote. Sens., 2019

Hyperspectral Unmixing Via Wavelet Based Autoencoder Network.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

A Distributed and Parallel Method of Change Detection in Remote Sensing Image Based On Fully Connected Conditional Random Field.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Spectral Mapping Based Intensity Modulation for Pan-Sharpening.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Hyperspectral Anomaly Detection Based on Low Rank and Sparse Tensor Decomposition.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Non-Convex Relaxation Low-Rank Tensor Completion for Hyperspectral Image Recovery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Non-Convex Low-Rank Approximation for Hyperspectral Image Recovery with Weighted Total Varaition Regularization.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Patch-Based Residual Networks for Compressively Sensed Hyperspectral Images Restruction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Pan-Sharpening Based on Multilevel Coupled Deep Network.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Color demosaicking via nonlocal tensor representation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015
Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization.
Sensors, 2015

A New Pan-Sharpening Method With Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2015

Local brightness adaptive image colour enhancement with Wasserstein distance.
IET Image Process., 2015

A novel hyperspectral image anomaly detection method based on low rank representation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Variational Bayesian Method for Retinex.
IEEE Trans. Image Process., 2014

Adaptive tensor matrix based kernel regression for hyperspectral image denoising.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Spatial-spectral compressive sensing for hyperspectral images super-resolution over learned dictionary.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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