Follow
Faxian Cao (曹发贤)
Title
Cited by
Cited by
Year
Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images
F Cao, Z Yang, J Ren, WK Ling, H Zhao, M Sun, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 56 (11), 6263-6279, 2018
462018
Local block multilayer sparse extreme learning machine for effective feature extraction and classification of hyperspectral images
F Cao, Z Yang, J Ren, W Chen, G Han, Y Shen
IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5580-5594, 2019
452019
Extreme sparse multinomial logistic regression: A fast and robust framework for hyperspectral image classification
F Cao, Z Yang, J Ren, WK Ling, H Zhao, S Marshall
Remote Sensing 9 (12), 1255, 2017
342017
Extreme learning machine with enhanced composite feature for spectral-spatial hyperspectral image classification
M Jiang, F Cao, Y Lu
IEEE Access 6, 22645-22654, 2018
302018
Does normalization methods play a role for hyperspectral image classification?
F Cao, Z Yang, J Ren, M Jiang, WK Ling
arXiv preprint arXiv:1710.02939, 2017
212017
Linear vs. nonlinear extreme learning machine for spectral-spatial classification of hyperspectral images
F Cao, Z Yang, J Ren, M Jiang, WK Ling
Sensors 17 (11), 2603, 2017
202017
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm
X Zhang, Z Yang, F Cao, J Cao, M Wang, N Cai
Memetic Computing 12, 151-164, 2020
152020
Convolutional neural network extreme learning machine (CNN-ELM) for effective classification of hyperspectral images
F Cao, Z Yang, J Ren, WK Ling
Journal of Applied Remote Sensing 12 (03), 2018
102018
Supervised dimensionality reduction of hyperspectral imagery via local and global sparse representation
F Cao, Z Yang, X Hong, Y Cheng, Y Huang, J Lv
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
72021
Hyperspectral image denoising and classification using multi-scale weighted EMAPs and extreme learning machine
M Liu, F Cao, Z Yang, X Hong, Y Huang
Electronics 9 (12), 2137, 2020
72020
Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images
W Chen, Z Yang, F Cao, Y Yan, M Wang, C Qing, Y Cheng
IET Image Processing 13 (2), 299-306, 2019
62019
Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images
F Cao, Z Yang, Y Chen, WK Ling, R Hu
IEEE Transactions on Geoscience and Remote Sensing, 2020
22020
Spectral and spatial kernel extreme learning machine for hyperspectral image classification
Z Yang, F Cao, J Zabalza, W Chen, J Cao
Advances in Brain Inspired Cognitive Systems: 9th International Conference …, 2018
22018
Spectral-spatial classification of hyperspectral image using extreme learning machine and loopy Belief propagation
F Cao, Z Yang, M Jiang, W Chen, Q Ye, WK Ling
2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017
22017
Unsupervised hyperspectral band selection based on maximum information entropy and determinantal point process
Z Yang, W Chen, Y Yan, F Cao, N Cai
Advances in Brain Inspired Cognitive Systems: 9th International Conference …, 2018
12018
Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time
F Cao, Y Cheng, AM Khan, Z Yang, SMA Kazmi, Y Chang
arXiv preprint arXiv:2307.07096, 2023
2023
Are Microphone Signals Alone Sufficient for Self-Positioning?
F Cao, Y Cheng, AM Khan, Z Yang
arXiv preprint arXiv:2305.11397, 2023
2023
Justices for Information Bottleneck Theory
F Cao, Y Cheng, AM Khan, Z Yang
arXiv preprint arXiv:2305.11387, 2023
2023
Wang, Meilin and Qing, Chunmei and Cheng, Yongqiang (2018) Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images …
W Chen, Z Yang, F Cao, Y Yan
The system can't perform the operation now. Try again later.
Articles 1–19