Hongyi Liu
Orcid: 0000-0001-8941-4346Affiliations:
- Nanjing University of Science and Technology, Nanjing, China
According to our database1,
Hongyi Liu
authored at least 31 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Blind Unmixing Using Dispersion Model-Based Autoencoder to Address Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2024
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
IEEE Trans. Geosci. Remote. Sens., 2023
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
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
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
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
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
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
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
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
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
IEEE Geosci. Remote. Sens. Lett., 2015
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
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