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Shaoguang Huang
Shaoguang Huang
China University of Geosciences
在 ugent.be 的电子邮件经过验证
标题
引用次数
引用次数
年份
Multilayer sparsity-based tensor decomposition for low-rank tensor completion
J Xue, Y Zhao, S Huang, W Liao, JCW Chan, SG Kong
IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6916-6930, 2021
1342021
Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization
S Huang, H Zhang, A Pižurica
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021
482021
Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images
S Huang, H Zhang, A Pižurica
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
352019
A reconfigurable sound wave decomposition filterbank for hearing aids based on nonlinear transformation
S Huang, L Tian, X Ma, Y Wei
IEEE transactions on biomedical circuits and systems 10 (2), 487-496, 2015
352015
A robust sparse representation model for hyperspectral image classification
S Huang, H Zhang, A Pižurica
Sensors 17 (9), 2087, 2017
322017
A novel approach to design low-cost two-stage frequency-response masking filters
Y Wei, S Huang, X Ma
IEEE Transactions on Circuits and Systems II: Express Briefs 62 (10), 982-986, 2015
272015
Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
S Huang, H Zhang, A Pižurica
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
242021
Joint sparsity based sparse subspace clustering for hyperspectral images
S Huang, H Zhang, A Pižurica
2018 25th IEEE International Conference on Image Processing (ICIP), 3878-3882, 2018
212018
A structural subspace clustering approach for hyperspectral band selection
S Huang, H Zhang, A Pižurica
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021
192021
Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection
S Huang, H Zhang, J Xue, A Pizurica
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9259-9273, 2022
182022
A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
M Li, S Huang, J De Bock, G De Cooman, A Pižurica
Sensors 20 (18), 5262, 2020
182020
Sketch-based subspace clustering of hyperspectral images
S Huang, H Zhang, Q Du, A Pižurica
Remote Sensing 12 (5), 775, 2020
172020
Multimodal target detection by sparse coding: Application to paint loss detection in paintings
S Huang, B Cornelis, B Devolder, M Martens, A Pizurica
IEEE Transactions on Image Processing 29, 7681-7696, 2020
92020
Robust dynamic classifier selection for remote sensing image classification
M Li, S Huang, A Pizurica
2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP …, 2019
92019
Paint loss detection in old paintings by sparse representation classification
S Huang, W Liao, H Zhang, A Pizurica
Proceedings of the third” international Traveling Workshop on Interactions …, 2016
92016
Deep learning for paint loss detection with a multiscale, translation invariant network
L Meeus, S Huang, B Devolder, H Dubois, M Martens, A Pižurica
2019 11th International Symposium on Image and Signal Processing and …, 2019
82019
Assisting classical paintings restoration: efficient paint loss detection and descriptor-based inpainting using shared pretraining
L Meeus, S Huang, N Zizakic, X Xie, B Devolder, H Dubois, M Martens, ...
Optics, Photonics and Digital Technologies for Imaging Applications VI 11353 …, 2020
72020
Tensor completion using bilayer multimode low-rank prior and total variation
H Zeng, S Huang, Y Chen, S Liu, HQ Luong, W Philips
IEEE Transactions on Neural Networks and Learning Systems, 2023
62023
Degradation-noise-aware deep unfolding transformer for hyperspectral image denoising
H Zeng, J Cao, K Feng, S Huang, H Zhang, H Luong, W Philips
arXiv preprint arXiv:2305.04047, 2023
52023
From model-based optimization algorithms to deep learning models for clustering hyperspectral images
S Huang, H Zhang, H Zeng, A Pižurica
Remote Sensing 15 (11), 2832, 2023
42023
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