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Dan Li 0014
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, College of Astronautics, China
- affiliation (PhD 2018): Harbin Institute of Technology, Department of Control Science and Engineering, China
- not to be confused with: Dan Li 0018
Other persons with the same name
- Dan Li — disambiguation page
- Dan Li 0001
— Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 2 more)
- Dan Li 0002 — Northern Arizona University, Flagstaff, AZ, USA (and 1 more)
- Dan Li 0003
- Dan Li 0004
- Dan Li 0005
- Dan Li 0006
- Dan Li 0007
- Dan Li 0008
- Dan Li 0009
- Dan Li 0010 — Chengdu Technological University, Department of Electrical and Electronics Engineering, China
- Dan Li 0011
- Dan Li 0012
- Dan Li 0013
- Dan Li 0015
- Dan Li 0016
- Dan Li 0017
- Dan Li 0018
- Dan Li 0019
- Dan Li 0020
- Dan Li 0021
- Dan Li 0022
- Dan Li 0023
- Dan Li 0024
- Dan Li 0025
- Dan Li 0026
- Dan Li 0027
- Dan Li 0028
- Dan Li 0029
- Dan Li 0030
- Dan Li 0031 — Xinjiang University, College of Mathematics and System Science, Urumqi, China
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2020 – today
- 2024
- [j25]Xinwei Wan
Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9907-9921 (2024) - 2023
- [j24]Fanqiang Kong
Window Transformer Convolutional Autoencoder for Hyperspectral Sparse Unmixing. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j23]Fanqiang Kong, Jiahui Tang, Yunsong Li, Dan Li, Kedi Hu:
Dual-branch spectral-spatial feature extraction network for multispectral image compression. Multim. Syst. 29(6): 3579-3597 (2023) - [j22]Fanqiang Kong
Deep Interpretable Fully CNN Structure for Sparse Hyperspectral Unmixing via Model-Driven and Data-Driven Integration. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j21]Dan Li
Spectral-Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j20]Fanqiang Kong, Tongbo Cao, Yunsong Li, Dan Li, Kedi Hu:
Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder. Signal Process. 198: 108589 (2022) - [j19]Fanqiang Kong
A Spectral-Spatial Feature Extraction Method With Polydirectional CNN for Multispectral Image Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2745-2758 (2022) - [j18]Fanqiang Kong
A Global Spectral-Spatial Feature Learning Network for Semisupervised Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3190-3203 (2022) - [j17]Yujian Wang
Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3539-3551 (2022) - 2021
- [j16]Fanqiang Kong, Shunmin Zhao, Yunsong Li, Dan Li:
End-to-end multispectral image compression framework based on adaptive multiscale feature extraction. J. Electronic Imaging 30(1): 013010 (2021) - [j15]Fanqiang Kong, Kedi Hu, Yunsong Li, Dan Li, Shunmin Zhao:
Spectral-Spatial Feature Partitioned Extraction Based on CNN for Multispectral Image Compression. Remote. Sens. 13(1): 9 (2021) - [j14]Hanjie Wu, Dan Li, Yujian Wang, Xiaojun Li, Fanqiang Kong, Qiang Wang
Hyperspectral Image Classification Based on Two-Branch Spectral-Spatial-Feature Attention Network. Remote. Sens. 13(21): 4262 (2021) - [j13]Dan Li, Fanqiang Kong, Qiang Wang:
Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance. Signal Process. 180: 107865 (2021) - [j12]Minghua Wang
Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial-Spectral Total Variation. IEEE Trans. Geosci. Remote. Sens. 59(1): 488-507 (2021) - [j11]Dan Li
Superpixel-Based Multiple Statistical Feature Extraction Method for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(10): 8738-8753 (2021) - 2020
- [j10]Fanqiang Kong, Shunmin Zhao, Yunsong Li, Dan Li, Yongbo Zhou:
A residual network framework based on weighted feature channels for multispectral image compression. Ad Hoc Networks 107: 102272 (2020) - [j9]Dan Li, Qiang Wang, Fanqiang Kong:
Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification. Neurocomputing 400: 97-112 (2020) - [j8]Dan Li, Qiang Wang, Fanqiang Kong:
Superpixel-feature-based multiple kernel sparse representation for hyperspectral image classification. Signal Process. 176: 107682 (2020) - [j7]Dan Li, Zhaojun Wu:
A fast global matching pursuit algorithm for sparse reconstruction by l0 minimization. Signal Image Video Process. 14(2): 277-284 (2020)
2010 – 2019
- 2019
- [j6]Dan Li, Zhaojun Wu, Qiang Wang:
Edge guided compressive sensing for image reconstruction based on two-stage l0 minimization. J. Vis. Commun. Image Represent. 59: 461-474 (2019) - 2017
- [j5]Qiang Wang, Dan Li, Yi Shen:
Intelligent nonconvex compressive sensing using prior information for image reconstruction by sparse representation. Neurocomputing 224: 71-81 (2017) - [j4]Dan Li, Qiang Wang
Geometric structure based intelligent collaborative compressive sensing for image reconstruction by l0 minimization. Neurocomputing 260: 221-234 (2017) - [c4]Dan Li, Chaoran Liu, Xuan Liu, Zhaojun Wu, Qiang Wang, Yi Shen:
Recursive intelligent matching pursuit method for image sequences reconstruction based on l0 minimization. I2MTC 2017: 1-6 - 2016
- [j3]Dan Li, Qiang Wang, Yi Shen:
Multi-variable intelligent matching pursuit algorithm using prior knowledge for image reconstruction by l0 minimization. Neurocomputing 207: 548-559 (2016) - [j2]Dan Li, Qiang Wang, Yi Shen:
Predicted multi-variable intelligent matching pursuit algorithm for image sequences reconstruction based on l0 minimization. J. Vis. Commun. Image Represent. 38: 316-327 (2016) - [j1]Dan Li, Qiang Wang, Yi Shen:
Intelligent greedy pursuit model for sparse reconstruction based on l0 minimization. Signal Process. 122: 138-151 (2016) - 2014
- [c3]Dan Li, Chunli Shi, Qiang Wang, Yi Shen, Yan Wang:
Artificial immune algorithm based signal reconstruction for compressive sensing. I2MTC 2014: 76-81 - 2013
- [c2]Miao Zhang
Fault detection method based on HHT for spacecraft mono-propellant propulsion system. I2MTC 2013: 1725-1729 - [c1]Dan Li, Muyu Li, Yi Shen, Yan Wang, Qiang Wang:
GA-BFO based signal reconstruction for compressive sensing. ICIA 2013: 1023-1028
Coauthor Index
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