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 | 46 | 2018 |
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 | 45 | 2019 |
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 | 34 | 2017 |
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 | 30 | 2018 |
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 | 21 | 2017 |
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 | 20 | 2017 |
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 | 15 | 2020 |
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 | 10 | 2018 |
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 | 7 | 2021 |
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 | 7 | 2020 |
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 | 6 | 2019 |
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 | 2 | 2020 |
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 | 2 | 2018 |
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 | 2 | 2017 |
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 | 1 | 2018 |
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 | | |