Dan Li
Orcid: 0000-0002-2240-9398Affiliations:
- Nanjing University of Aeronautics and Astronautics, College of Astronautics, China
- Harbin Institute of Technology, Department of Control Science and Engineering, China (PhD 2018)
According to our database1,
Dan Li
authored at least 28 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Dual-branch spectral-spatial feature extraction network for multispectral image compression.
Multim. Syst., December, 2023
Spectral-Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Deep Interpretable Fully CNN Structure for Sparse Hyperspectral Unmixing via Model-Driven and Data-Driven Integration.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
2022
Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Spectral-Spatial Feature Extraction Method With Polydirectional CNN for Multispectral Image Compression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Global Spectral-Spatial Feature Learning Network for Semisupervised Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder.
Signal Process., 2022
2021
Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial-Spectral Total Variation.
IEEE Trans. Geosci. Remote. Sens., 2021
Superpixel-Based Multiple Statistical Feature Extraction Method for Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2021
Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance.
Signal Process., 2021
Hyperspectral Image Classification Based on Two-Branch Spectral-Spatial-Feature Attention Network.
Remote. Sens., 2021
Spectral-Spatial Feature Partitioned Extraction Based on CNN for Multispectral Image Compression.
Remote. Sens., 2021
End-to-end multispectral image compression framework based on adaptive multiscale feature extraction.
J. Electronic Imaging, 2021
2020
A fast global matching pursuit algorithm for sparse reconstruction by l<sub>0</sub> minimization.
Signal Image Video Process., 2020
Superpixel-feature-based multiple kernel sparse representation for hyperspectral image classification.
Signal Process., 2020
Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification.
Neurocomputing, 2020
A residual network framework based on weighted feature channels for multispectral image compression.
Ad Hoc Networks, 2020
2019
Edge guided compressive sensing for image reconstruction based on two-stage l0 minimization.
J. Vis. Commun. Image Represent., 2019
2017
Intelligent nonconvex compressive sensing using prior information for image reconstruction by sparse representation.
Neurocomputing, 2017
Geometric structure based intelligent collaborative compressive sensing for image reconstruction by l<sub>0</sub> minimization.
Neurocomputing, 2017
Recursive intelligent matching pursuit method for image sequences reconstruction based on l0 minimization.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017
2016
Intelligent greedy pursuit model for sparse reconstruction based on l<sub>0</sub> minimization.
Signal Process., 2016
Predicted multi-variable intelligent matching pursuit algorithm for image sequences reconstruction based on l<sub>0</sub> minimization.
J. Vis. Commun. Image Represent., 2016
Multi-variable intelligent matching pursuit algorithm using prior knowledge for image reconstruction by l<sub>0</sub> minimization.
Neurocomputing, 2016
2014
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014
2013
Proceedings of the IEEE International Conference on Information and Automation, 2013
Fault detection method based on HHT for spacecraft mono-propellant propulsion system.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013